[go: up one dir, main page]

JPH11326147A - Roller table equipment diagnosis method and equipment diagnosis device - Google Patents

Roller table equipment diagnosis method and equipment diagnosis device

Info

Publication number
JPH11326147A
JPH11326147A JP10128841A JP12884198A JPH11326147A JP H11326147 A JPH11326147 A JP H11326147A JP 10128841 A JP10128841 A JP 10128841A JP 12884198 A JP12884198 A JP 12884198A JP H11326147 A JPH11326147 A JP H11326147A
Authority
JP
Japan
Prior art keywords
current
roller table
roll
motor
value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP10128841A
Other languages
Japanese (ja)
Other versions
JP3688890B2 (en
Inventor
Tenji Seto
天次 瀬戸
Kazuyoshi Ueno
和良 上野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
IMV KK
Nippon Steel Corp
Original Assignee
IMV KK
Nippon Steel Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by IMV KK, Nippon Steel Corp filed Critical IMV KK
Priority to JP12884198A priority Critical patent/JP3688890B2/en
Publication of JPH11326147A publication Critical patent/JPH11326147A/en
Application granted granted Critical
Publication of JP3688890B2 publication Critical patent/JP3688890B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Control Of Electric Motors In General (AREA)

Abstract

(57)【要約】 【課題】 ローラーテーブルの駆動電動機や機械駆動系
の運転状況を設備コストがかからずに精度良く診断して
異常を確実に検出できるようにすること。 【解決手段】 ロールを駆動する電動機の電流信号を逐
一捕らえ、運転直後の起動電流と起動時間を検出する起
動状態検出部と、安定期における電流値の検出と電流の
振動周期・振幅を演算するロール偏芯検出部によって構
成される電流変化の検出機構を有し、電動機の運転信号
によって各検出部を順次に切り替えることで、電動機の
電流変化の挙動を運転開始から停止に至るまでの運転状
態に応じて連続的にローラーテーブルを診断する事を特
徴とするローラーテーブルの設備診断装置。
(57) [Summary] [PROBLEMS] To accurately diagnose an operating condition of a drive motor or a mechanical drive system of a roller table without incurring facility costs so that an abnormality can be reliably detected. SOLUTION: A current signal of a motor driving a roll is captured one by one, and a starting state detecting unit for detecting a starting current and a starting time immediately after operation, a detection of a current value in a stable period, and a calculation of a vibration cycle and an amplitude of the current. It has a current change detection mechanism composed of a roll eccentricity detection unit, and by sequentially switching each detection unit according to the operation signal of the motor, the operation state of the current change of the motor from operation start to stop A roller table equipment diagnosis apparatus characterized in that the roller table is continuously diagnosed according to the conditions.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は鉄鋼業における鋼材
等を円筒形のロールを電動機で駆動して搬送するローラ
ーテーブル群の駆動電動機及び機械駆動系の設備診断方
法及び設備診断装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a drive motor for a roller table group for transporting a steel material or the like in the iron and steel industry by driving a cylindrical roll by an electric motor, a method for diagnosing equipment of a mechanical drive system, and an equipment diagnosis apparatus.

【0002】[0002]

【従来の技術】従来の産業機械の設備異常を診断する方
法としては、各種の検出器を診断対象個所に多数設置
し、該検出器より得られた信号を処理することで異常を
検出し診断する方法があった。例えば、軸受けの異常
(ベアリングの破損、焼き付き、負荷回転体の偏芯等)
を診断するために軸受け部に振動検出器を設置し、振動
周波数及び振幅の挙動によって異常の診断をする方法が
あった。また、多数の設備診断用検出器に取って代わっ
て駆動電動機の電流を取り出し、該電流値の最大値、最
小値、平均値等を求め予め設定した値と比較して異常の
判定を行なう方法や、電流の変化率を検出し予め設定し
た値と比較し異常を判定する方法があった。
2. Description of the Related Art As a conventional method for diagnosing equipment abnormality of an industrial machine, various types of detectors are installed at a plurality of locations to be diagnosed, and signals obtained from the detectors are processed to detect and diagnose the abnormality. There was a way to do that. For example, bearing failure (damage of bearing, seizure, eccentricity of load rotating body, etc.)
There has been a method in which a vibration detector is installed on a bearing part to diagnose the abnormality, and the abnormality is diagnosed based on the behavior of the vibration frequency and the amplitude. Also, a method of taking out the current of the drive motor in place of a large number of equipment diagnostic detectors, determining the maximum value, minimum value, average value, and the like of the current value and comparing it with a preset value to determine an abnormality. Alternatively, there is a method of detecting a change rate of a current and comparing it with a preset value to determine an abnormality.

【0003】このような方法には、無負荷時の電流値を
電動機の回転数によって補正することで異常を検出する
特開昭52−143856号公報や、電動機の交流電流
波形を周波数解析又は位相差を検出して異常を判定す
る、特開昭61−151477、特開昭61−1514
78、特開昭61−151479号公報、あるいは電流
波形の位相及び振幅の不平衡率を求め異常を診断する特
開昭61−186870、特開昭61−186871号
公報があり、更には機械系を駆動する電動機の電流を検
出し、得られた電流値に対し固定の上限及び下限設定値
とで比較する絶対値比較診断による異常判定する方法
と、電流信号の直近の移動平均値と偏差値に基づく経時
変化実績を基準として比較する相対値比較診断により異
常判定する、特公平6−95059号公報などが開示さ
れている。又、駆動条件が同一である少なくとも2台の
電動機の各々の電流信号を取り出し、その検出電流間の
差と基準値及び基準時間とを比較し異常を判定する特開
平7−194186号公報が開示されている。
[0003] In such a method, Japanese Unexamined Patent Application Publication No. 52-143856, which detects an abnormality by correcting the current value under no load by the number of revolutions of the motor, and frequency analysis or position analysis of the AC current waveform of the motor. JP-A-61-15147, JP-A-61-1514
78, JP-A-61-151479, and JP-A-61-186870 and JP-A-61-186871, in which the unbalance rate of the phase and amplitude of a current waveform is determined and an abnormality is diagnosed. A method of detecting an abnormality by detecting the current of the motor driving the motor and comparing the obtained current value with a fixed upper limit and a lower limit set value, and an abnormal value comparison diagnosis, and the latest moving average value and deviation value of the current signal Japanese Patent Publication No. 6-95059 discloses a method of determining an abnormality by a relative value comparison diagnosis based on the results of aging based on the results. Japanese Patent Application Laid-Open No. 7-194186 discloses that current signals of at least two electric motors having the same driving conditions are extracted, and a difference between the detected currents is compared with a reference value and a reference time to determine an abnormality. Have been.

【0004】[0004]

【発明が解決しようとする課題】しかし従来の方法で
は、各種の検出器を設置した従来の設備診断では、検出
器を診断対象個所に直接設置するため、診断精度が高い
反面、多数の高価な検出器を現場に設置することから、
該検出器の保守整備に膨大な労力を必要とし、検出精度
を一定に維持することが困難であった。
However, according to the conventional method, in the conventional equipment diagnosis in which various detectors are installed, the detectors are directly installed at the locations to be diagnosed. Since the detector is installed on site,
An enormous amount of labor was required for maintenance of the detector, and it was difficult to maintain the detection accuracy constant.

【0005】又、機械を駆動する電動機の負荷電流によ
って診断する方法として特開昭52−143856号公
報では、設備異常を診断するために高価な回転検出器が
必要であり、検出器の維持管理も必要となる等の問題が
ある。又、特開昭61−151477、特開昭61−1
51478、特開昭61−151479、特開昭61−
186870、特開昭61−186871号公報では、
電動機単体を単体で運転した時の診断では有効な手段で
は有るが、電動機に減速機や軸受け等の負荷を接続した
状態では負荷電流の交流波形を高速のサンプリング機構
を用いて診断するため、正常な状態での電流変化や位相
変化までも異常として検出してしまうことや、高速のサ
ンプリング機構を有するため非常に高価な装置となって
しまう問題がある。
Japanese Patent Application Laid-Open No. 52-143856 discloses a method of diagnosing the load current of a motor for driving a machine, which requires an expensive rotation detector for diagnosing equipment abnormality. Is also necessary. Also, JP-A-61-151477 and JP-A-61-1
51478, JP-A-61-151479, JP-A-61-151479
186870, JP-A-61-186871,
This is an effective means for diagnosis when the motor alone is operated alone, but when the motor is connected to a load such as a reduction gear or a bearing, the AC waveform of the load current is diagnosed using a high-speed sampling mechanism. However, there is a problem that even a current change and a phase change in an unusual state are detected as abnormal, and the device becomes very expensive because of having a high-speed sampling mechanism.

【0006】更に、特公平6−95059号公報では、
機械系を駆動する電動機の電流値と該電動機の定格電流
の約80%の上限値と約20%の下限値とで比較する絶
対値比較診断では、正常と判断される電流変化の幅は定
格電流の20%〜80%と広いため、減速機や軸受け等
の潤滑油不足による僅かな電流増加が負荷電流に埋もれ
てしまい検出することが出来ない上に、上限値と下限値
を狭めれば正常な負荷状態での電流変化を誤って異常と
して検出することになる問題点がある。また、相対値比
較診断においても、直近の電流値を移動平均するために
ある程度のデータ数(上記従来発明ではデータ数L=0
〜30個、サンプリング時間ΔT=6秒以下)が必要と
なり、これは異常を検出する時間がL×ΔT÷2だけ遅
れることを意味し、検出遅れを防止するためにはデータ
数L又はサンプリング時間ΔTを小さくする必要がある
が、これを小さくすれば移動平均値と偏差値は限りなく
得られた電流値に近づくため、異常を検出することが出
来ない問題がある上に、設備の異常現象として長時間に
わたって徐々に電流が増加又は減少するような場合(例
えば、減速機や軸受け等の潤滑油やグリス等の減少によ
る負荷増加)には、偏差値に基づく経時変化実績を基準
とした比較では検出できない問題があるため、上記従来
発明が提示する効果を発揮できない以上、利用価値の高
い診断方法とは言えない問題点があった。
Further, Japanese Patent Publication No. 6-95059 discloses that
In the absolute value comparison diagnosis that compares the current value of the motor that drives the mechanical system with the upper limit value of about 80% and the lower limit value of about 20% of the rated current of the motor, the range of the current change that is determined to be normal is the rated range. Since the current is as wide as 20% to 80%, a slight increase in current due to lack of lubricating oil in reduction gears and bearings is buried in the load current and cannot be detected. In addition, if the upper and lower limits are narrowed, There is a problem that a current change under a normal load state is erroneously detected as an abnormality. Also, in the relative value comparison diagnosis, a certain number of data (the number of data L = 0 in the above-described conventional invention) is used for moving average of the latest current value.
30T, sampling time ΔT = 6 seconds or less), which means that the time for detecting an abnormality is delayed by L × ΔT ÷ 2, and in order to prevent detection delay, the number of data L or the sampling time It is necessary to reduce ΔT, but if this value is reduced, the moving average value and the deviation value approach the obtained current value infinitely, so that there is a problem that an abnormality cannot be detected, and furthermore, an abnormal phenomenon of equipment When the current gradually increases or decreases over a long period of time (for example, load increase due to reduction of lubricating oil or grease of reduction gears and bearings), comparison based on the results of aging based on deviation values is performed. However, there is a problem that it cannot be detected, so that the above-mentioned conventional invention cannot exhibit the effect, and cannot be said to be a highly useful diagnostic method.

【0007】又、特開平7−194186号公報による
方法では、同一の仕様及び運転条件でなければ診断出来
ない上に、少なくとも2台の駆動電動機の各々の電流差
にて異常を判定するために電流差が発生してもどちらが
異常なのかを判定することが出来ない問題点がある。
Further, according to the method disclosed in Japanese Patent Application Laid-Open No. 7-194186, diagnosis cannot be made unless the same specifications and operating conditions are used, and an abnormality is determined based on a current difference between at least two drive motors. There is a problem that it is not possible to determine which one is abnormal even when a current difference occurs.

【0008】更に、前述の何れの方法であっても異常を
判定する基準値の決定には多大な労力を必要とする。例
えば、ローラーを駆動する電動機の負荷電流によって診
断する方法においては、様々なローラー長さやローラー
径を有し、多種多様な装置で構成するローラーテーブル
の異常による挙動を単なる負荷電流値の最大値、最小値
及び平均値で診断することが困難である上に、診断精度
を高めるためには設備状況に合った異常判定の基準値を
定めることが重要であり、この基準値の決定方法は、当
初は電動機の仕様や試験成績表を基に比較的に高めある
いは低めに設定し数日間運転して状況を確認し、徐々に
基準値を下げるかあるいは上げるかの変更をし、更に状
況をみるといった試行錯誤を繰り返すため膨大な時間と
労力が必要であるといった問題点がある。
Further, in any of the above-mentioned methods, a great deal of labor is required to determine a reference value for judging an abnormality. For example, in the method of diagnosing by the load current of the motor driving the roller, having various roller lengths and roller diameters, the behavior due to the abnormality of the roller table composed of various devices is simply the maximum value of the load current value, It is difficult to diagnose with the minimum and average values, and it is important to determine the reference value for abnormality determination that matches the equipment situation in order to increase the diagnostic accuracy. Based on the specifications and test report of the motor, set it relatively high or low and run for several days to check the situation, gradually change the reference value to lower or higher, change the situation further, etc. There is a problem that it takes a lot of time and effort to repeat trial and error.

【0009】[0009]

【課題を解決するための手段】本発明の要旨は以下のと
おりである。 (1)円筒形のロールを電動機で駆動して鋼材等を搬送
するローラーテーブル群において、ロールを駆動する電
動機の電流信号を逐一捕らえ、運転直後の起動電流と起
動時間を検出する起動状態検出部と、安定期における電
流値の検出と電流の振動周期・振幅を演算するロール偏
芯検出部によって構成される電流変化の検出機構を有
し、電動機の運転信号によって各検出部を順次に切り替
えることで、電動機の電流変化の挙動を運転開始から停
止に至るまでの運転状態に応じて連続的にローラーテー
ブルを診断する事を特徴とするローラーテーブルの設備
診断装置。 (2)円筒形のロールを電動機で駆動して鋼材等を搬送
するローラーテーブル群において、ロールを駆動する電
動機の電流信号を逐一捕らえ、起動状態検出部と、ロー
ル偏芯検出部で得られた過去の検出結果を蓄積し、過去
の測定値から標準偏差を求め、ローラーテーブル設備の
異常を判定する基準値を自動的に決定する異常判定生成
部を有することを特徴とするローラーテーブルの設備診
断装置。 (3)(1)の起動状態検出部でローラーテーブルを駆
動した直後の電動機の電流信号を運転信号によって捕ら
え、その時の最大値である起動電流と駆動電動機の仕様
で決まる定格電流に達するまでの時間である起動時間を
計測し、これら計測値を異常判定生成部で決定した異常
判定基準値と比較することで、電動機単体からカップリ
ング、減速機及びロールの軸受けの設備異常を診断する
ことを特徴とするローラーテーブルの設備診断方法。 (4)ロール偏芯検出部でロールを駆動する電動機が起
動完了後のローラーテーブルに搬送物が載っていない無
負荷状態の安定期に、電動機の電流信号を予め定めた期
間の最大電流値、最小電流値及び平均電流値を計測し、
これら計測値を異常判定生成部で決定した異常判定基準
値と比較することで、電動機のカップリング、減速機及
びベルト駆動プーリーの軸受けの設備異常を診断するこ
とを特徴とするベルトコンベアの設備診断方法。 (5)ロール偏芯検出部でロールが偏芯した時の駆動電
動機の負荷電流の脈動電流をフィルタ部でノイズを除去
した後での電流変化をピークtoピーク検出部で電流変
化率が0になる2点間の電流差と時間を検出し演算部で
電流の脈動周期及び振幅を演算し、ローラーテーブルの
仕様(ロール回転数、ロール径等)で決定した異常判定
基準値と比較することで、ロール偏芯の有無と大きさを
診断する事を特徴とするローラーテーブルの設備診断方
法。
The gist of the present invention is as follows. (1) In a roller table group that conveys steel and the like by driving a cylindrical roll by an electric motor, a starting state detecting unit that captures a current signal of the electric motor that drives the roll one by one and detects a starting current and a starting time immediately after the operation. And a current change detection mechanism configured by a roll eccentricity detection unit that detects a current value in a stable period and calculates a vibration cycle and amplitude of the current, and sequentially switches each detection unit according to an operation signal of the electric motor. A roller table equipment diagnosis apparatus characterized in that the behavior of a change in current of a motor is continuously diagnosed in accordance with the operation state from the start to the stop of the operation of the motor. (2) In a roller table group for conveying steel materials by driving a cylindrical roll by an electric motor, a current signal of the electric motor for driving the roll was captured one by one, and obtained by a starting state detecting unit and a roll eccentricity detecting unit. Roller table equipment diagnosis characterized by having an abnormality determination generation unit that accumulates past detection results, obtains a standard deviation from past measurement values, and automatically determines a reference value for determining abnormality of the roller table equipment. apparatus. (3) A current signal of the motor immediately after driving the roller table by the starting state detection unit of (1) is captured by an operation signal, and the current signal reaches a maximum value at that time and reaches a rated current determined by the specification of the driving motor. By measuring the startup time, which is the time, and comparing these measured values with the abnormality determination reference value determined by the abnormality determination generation unit, it is possible to diagnose the equipment failure of the coupling, reduction gear and roll bearing from the motor alone. A feature of the roller table equipment diagnosis method. (4) When the motor driving the rolls by the roll eccentricity detection unit has started up, the current signal of the motor is set to a maximum current value in a predetermined period during a stable period in which no load is placed on the roller table and no load is present. Measure the minimum current value and average current value,
By comparing these measured values with the abnormality determination reference value determined by the abnormality determination generation unit, it is possible to diagnose the equipment abnormality of the coupling of the electric motor, the reduction gear and the bearing of the belt drive pulley, and the equipment diagnosis of the belt conveyor. Method. (5) The pulsating current of the load current of the driving motor when the roll is eccentric in the roll eccentricity detection unit is used to remove the noise by the filter unit, and the current change after the noise is removed is reduced to zero by the peak-to-peak detection unit. By detecting the current difference and time between the following two points and calculating the pulsation period and amplitude of the current in the calculation unit, and comparing the calculated value with the abnormality determination reference value determined by the roller table specifications (roll rotation speed, roll diameter, etc.). A method for diagnosing the equipment of a roller table, comprising diagnosing presence / absence and size of roll eccentricity.

【0010】[0010]

【発明の実施の形態】前述の問題を解決するために本発
明は、図1及び図2に示すように鋼材搬送用のローラー
1、該ローラー1を支える軸受け2と、ローラー1を減
速機3と駆動電動機4で駆動している構成をとるローラ
ーテーブル群5の駆動電動機4の電流信号6を逐一捕ら
え、電流変化の挙動で、電動機4から減速機3及びロー
ラー1の軸受け2の設備異常に加え、電流の振動周期及
び振幅でロール偏芯の有無及び偏芯量を診断することを
特徴とするローラーテーブルの設備診断方法とローラー
テーブル診断装置7である。
DESCRIPTION OF THE PREFERRED EMBODIMENTS In order to solve the above-mentioned problems, the present invention relates to a roller 1 for conveying a steel material, a bearing 2 for supporting the roller 1 and a speed reducer 3 as shown in FIGS. And the current signal 6 of the drive motor 4 of the roller table group 5 having a configuration driven by the drive motor 4 is captured one by one, and the current change behavior causes the motor 4 to reduce the equipment abnormality of the reduction gear 3 and the bearing 2 of the roller 1. In addition, there are provided a roller table equipment diagnosis method and a roller table diagnosis apparatus 7 characterized by diagnosing the presence / absence of roll eccentricity and the amount of eccentricity based on the oscillation cycle and amplitude of current.

【0011】そのローラーテーブル診断装置7の構成を
図3に示す。ローラー1を駆動する電動機4の電流を電
流検出器10でとらえ、電流検出器10からの電流信号
6をローラーテーブル診断装置7に入力する。また、該
駆動電動機4の運転信号11もローラーテーブル診断装
置7に入力し、設備診断の開始指令として使用する。入
力された電流信号6は、運転信号11が診断条件処理部
17に入力されここで設備診断の開始指令を出力し、ま
ず起動状態検出部18で起動電流値と駆動電動機4の定
格電流に達するまでの起動時間を算出し、一方を異常判
定処理部15へ送り、他方を異常判定値生成部19へ送
りデータを蓄積し、蓄積されている過去のデータを基に
異常判定値生成部19にて標準偏差値を求めて判定基準
値を作成し、その結果を異常判定処理部15へ送り起動
状態検出部18からの信号と比較し、正常であるか異常
であるかを判定する。判定が終わると診断条件処理部1
7は、次の診断を行なうべくロール偏芯検出部20に診
断開始指令を出力する。
FIG. 3 shows the configuration of the roller table diagnostic device 7. The current of the electric motor 4 that drives the roller 1 is detected by the current detector 10, and the current signal 6 from the current detector 10 is input to the roller table diagnostic device 7. The operation signal 11 of the drive motor 4 is also input to the roller table diagnosis device 7 and used as a start command for equipment diagnosis. As for the input current signal 6, the operation signal 11 is input to the diagnostic condition processing unit 17, where a start command for equipment diagnosis is output, and the starting state detecting unit 18 first reaches the starting current value and the rated current of the drive motor 4. The start time up to is calculated, and one is sent to the abnormality determination processing unit 15 and the other is sent to the abnormality determination value generation unit 19 to accumulate data, and is transmitted to the abnormality determination value generation unit 19 based on the accumulated past data. Then, a standard deviation value is calculated to create a judgment reference value, and the result is sent to the abnormality judgment processing unit 15 and compared with a signal from the activation state detection unit 18 to determine whether the operation is normal or abnormal. When the determination is completed, the diagnostic condition processing unit 1
7 outputs a diagnosis start command to the roll eccentricity detection unit 20 to perform the next diagnosis.

【0012】ロール偏芯検出部20では、フィルタ処理
部12と、ピークtoピーク検出部13及び周期・振幅
演算部14を具備し、駆動電動機4の無負荷状態で安定
している期間で安定期における電流信号6の平均電流、
最大値及び最小値を算出し、電流波形の周期及び振幅を
後述する方法で算出し、異常判定処理部15で予め設定
監視装置9にて設定した異常判定値と比較して異常判定
を行なう。
The roll eccentricity detecting section 20 includes a filter processing section 12, a peak-to-peak detecting section 13 and a cycle / amplitude calculating section 14, and the driving motor 4 is stable in a no-load state during a stable period. The average current of the current signal 6 at
The maximum value and the minimum value are calculated, the cycle and the amplitude of the current waveform are calculated by a method described later, and the abnormality determination processing unit 15 compares the current value with the abnormality determination value set in advance by the setting monitoring device 9 to perform the abnormality determination.

【0013】異常判定処理部15の結果は、伝送処理部
16から外部の機器である設定監視装置9に対し伝送線
8を経由して出力する。ここで設定監視装置9として
は、判定基準値を入力したり、診断条件処理部15に対
し診断条件(診断周期、診断範囲、診断方法及び異常判
定値等)を各電流信号に対して設定したり、又診断結果
を表示及び蓄積する機能を有するものであれば、汎用の
計算機や制御装置であっても良く、伝送線8に汎用のシ
リアル伝送やパラレル伝送あるいは高機能のネットワー
クであっても良く、これらは本発明の自由な設計範囲に
属する。
The result of the abnormality determination processing section 15 is output from the transmission processing section 16 to the setting monitor 9 as an external device via the transmission line 8. Here, the setting monitoring device 9 inputs a judgment reference value and sets a diagnosis condition (diagnosis cycle, diagnosis range, diagnosis method, abnormality judgment value, etc.) for each current signal to the diagnosis condition processing unit 15. A general-purpose computer or control device may be used as long as it has a function of displaying and storing diagnostic results, and a general-purpose serial or parallel transmission or high-performance network may be used for the transmission line 8. Well, they belong to the free design scope of the present invention.

【0014】次に、駆動電動機4を運転すると電流信号
6と運転信号11がローラーテーブル診断装置7に入力
され、この時の起動電流波形は図4(a)のようになっ
て起動状態検出部18に入力され、該起動状態検出部1
8で起動電流Is 及び起動時間Ts を計測する。起動電
流Is は、起動直後の最大電流値であって駆動電動機4
に接続される負荷(減速機3、軸受け2、ローラー1
等)の影響を受けず、該駆動電動機4が持つ固有の電気
的特性によって一義的に決まるため、この起動電流Is
の値を診断することで、電動機単体の診断(一次捲線や
二次捲線の断線や短絡等の異常診断)が可能となる。
Next, when the drive motor 4 is operated, the current signal 6 and the operation signal 11 are input to the roller table diagnostic device 7, and the starting current waveform at this time is as shown in FIG. 18 and the activation state detection unit 1
At step 8, the starting current Is and the starting time Ts are measured. The starting current Is is the maximum current value immediately after starting, and is the driving motor 4
Connected to the load (reducer 3, bearing 2, roller 1
And the like, and is uniquely determined by the inherent electric characteristics of the drive motor 4, so that the starting current Is
By diagnosing the value of (1), diagnosis of the electric motor alone (diagnosis of abnormality such as disconnection or short circuit of the primary winding or the secondary winding) becomes possible.

【0015】又、起動電流Is が流れた後は、駆動電動
機4の特性に加え負荷状態に従って電流が低下し、該駆
動電動機4の定格電流It に達するまでの起動時間Ts
を計測する。この起動時間Ts は、負荷の状態によって
変化するため、起動時間Tsを診断することによって起
動時における負荷側の異常を捕らえることが出来る。例
えば、ローラー1の軸が折れた場合などでは駆動電動機
4の負荷が減少するため、起動時間はTs ′のように短
くなり、減速機3や軸受け2の潤滑油やグリスが不足し
ている時などは、駆動電動機4の負荷が増加するため
に、起動時間はTs ″のように長くなる。起動状態検出
部18で計測した値(起動電流Is 、起動時間Ts )を
異常判定処理部15にて正常であるか異常であるかを後
述する異常判定値生成部19で決定した判定基準値と比
較して判定を行なう。
After the start current Is flows, the current decreases in accordance with the load condition in addition to the characteristics of the drive motor 4, and the start time Ts until the drive motor 4 reaches the rated current It.
Is measured. Since the start-up time Ts changes depending on the state of the load, it is possible to catch an abnormality on the load side at the start-up time by diagnosing the start-up time Ts. For example, when the shaft of the roller 1 is broken or the like, the load on the drive motor 4 is reduced, so that the start-up time is shortened as Ts'. For example, the startup time becomes longer as Ts "because the load on the drive motor 4 increases. The values (the startup current Is and the startup time Ts) measured by the startup state detector 18 are sent to the abnormality determination processor 15. The determination is made by comparing a normal or abnormal state with a determination reference value determined by an abnormality determination value generation unit 19 described later.

【0016】運転信号11を入力して起動状態検出部1
8での計測信号を異常判定処理部15で判定が完了する
と、診断条件処理部17より予め定めた遅延時間Td
(これは、該検出部18では運転信号11の導通状態か
ら電流信号6が駆動電動機4の定格電流It に達するま
でで処理を完了するが、駆動電動機4の無負荷状態での
電流は定格電流It より遥かに小さいために設けるもの
であり、通常は1〜10秒が望ましい)後に、診断開始
指令が該ロール偏芯検出部20に送られてくる。この信
号を持ってロール偏芯検出部20では、電流信号6が安
定した電流波形は図4(a)のようになって、フィルタ
処理部12に入力される。この時の該電流信号6には外
部からのノイズ等が乗っているため、予め設定した周波
数f[Hz]でフィルタ処理部12にてフィルタ処理を行
なうと共に、電流信号6に対し予め定めた一定周期(通
常は2〜4秒)の最大値Imax 、最小値Imin 、平均値
Iave を算出する。フィルタ処理する周波数f[Hz]
は、該ローラー1の回転数N[rpm ]によって次式によ
って容易に求めることが出来る。 f[Hz]=(N[rpm ]/60)±α (1)
The running state detecting unit 1 receives the operation signal 11 and
When the abnormality determination processing unit 15 completes the determination of the measurement signal at 8, the diagnosis condition processing unit 17 determines a predetermined delay time Td.
(This processing is completed by the detection unit 18 from the conduction state of the operation signal 11 until the current signal 6 reaches the rated current It of the drive motor 4, but the current in the no-load state of the drive motor 4 is the rated current. (It is provided because it is much smaller than It. Usually, it is preferably 1 to 10 seconds.) After that, a diagnosis start command is sent to the roll eccentricity detection unit 20. With this signal, in the roll eccentricity detection unit 20, the current waveform in which the current signal 6 is stabilized is input to the filter processing unit 12 as shown in FIG. At this time, since the current signal 6 contains external noise and the like, the filter processing is performed by the filter processing unit 12 at a preset frequency f [Hz], and the current signal 6 has a predetermined constant value. The maximum value Imax, the minimum value Imin, and the average value Iave of the cycle (usually 2 to 4 seconds) are calculated. Frequency f [Hz] to be filtered
Can be easily obtained by the following equation using the rotation speed N [rpm] of the roller 1. f [Hz] = (N [rpm] / 60) ± α (1)

【0017】ここで、αは求めた周波数fに対しある程
度の幅を持たせてフィルタ処理をするためのもので、こ
れは該ローラー1を支える軸受け2や減速機3のグリス
や潤滑油等が不足することによって、駆動電動機4の負
荷が増加すると駆動電動機4の回転数が変動するために
設けるものであって、通常は求めた周波数fの約20%
とするのが良い。これによって電流信号6に含まれるノ
イズを取り除いた結果が図4(b)のようになって、ピ
ークtoピーク検出部13へ送られる。
Here, α is for performing a filtering process by giving a certain width to the obtained frequency f. The grease and lubricating oil of the bearing 2 supporting the roller 1 and the speed reducer 3 are used. This is provided because the rotation speed of the drive motor 4 fluctuates when the load on the drive motor 4 increases due to the shortage, and is usually provided at about 20% of the obtained frequency f.
Good to be. As a result, the result of removing noise included in the current signal 6 is sent to the peak-to-peak detection unit 13 as shown in FIG.

【0018】一方、電流信号6に対し一定周期で求めた
平均値Iave は、搬送する鋼材等による負荷変動の影響
を受けない安定した電流であるから、平均値Iave を診
断することで、運転状態における駆動電動機4を含む負
荷(減速機3、軸受け2、ローラー1等)の異常を捕ら
えることが出来る。例えば、ローラー1の軸が折れた場
合では、駆動電動機4の負荷が軽くなるために平均値I
ave の値は小さくなり、減速機3や軸受け2の潤滑油や
グリスが不足することによる負荷増加によって、平均値
Iave の値は大きくなる。フィルタ処理部12にて計測
した値(最大値Imax 、最小値Imin 、平均値Iave)を
異常判定処理部15にて正常であるか異常であるかを、
後述する異常判定値生成部19で決定した判定基準値と
比較して判定を行なう。
On the other hand, since the average value Iave obtained at a constant period with respect to the current signal 6 is a stable current which is not affected by the load fluctuation due to the steel material to be conveyed, the average value Iave is diagnosed to determine the operating state. Of the load (the reduction gear 3, the bearing 2, the roller 1, etc.) including the drive motor 4 in the above. For example, when the axis of the roller 1 is broken, the load on the drive motor 4 is reduced, so that the average value I
The value of ave decreases, and the average value Iave increases due to an increase in load due to a shortage of lubricating oil and grease in the reduction gear 3 and the bearing 2. The values (maximum value Imax, minimum value Imin, average value Iave) measured by the filter processing unit 12 are determined by the abnormality determination processing unit 15 as to whether they are normal or abnormal.
The determination is made by comparing with a determination reference value determined by an abnormality determination value generator 19 described later.

【0019】電流波形の振動周期を計測する方法として
は、例えば電流信号が該フィルタ処理部12にて求めた
平均値Iave と交わった点と点の時間を計測するのが一
般的であるが、この方法では周期だけを求めるものであ
って振幅は別の方法で求める必要があった。そこで本発
明では、図4(b)のように該ピークtoピーク検出部
13にて電流変化ΔI/Δtがマイナスからプラスに変
化する点とプラスからマイナスへ変化する点を検出し、
該周期・振幅演算部14にてその2点間の電流差Ip-p
と時間差Tp を同時に計測し、振動周期を時間差Tp ×
2として求め、振幅は電流差Ip-p として求める。この
演算結果(平均値Iave 、周期Tp ×2、振幅Ip-p )
を異常判定処理部15へ送り、予め下記に記載した方法
で決定した判定基準値Tb と比較し異常判定を行なう。 判定基準値Tb [s]=(60/N[rpm ])±β (2)
As a method of measuring the oscillation period of the current waveform, for example, it is general to measure the time between points at which the current signal intersects the average value Iave obtained by the filter processing unit 12, for example. In this method, only the period is obtained, and the amplitude must be obtained by another method. Therefore, in the present invention, as shown in FIG. 4B, the peak-to-peak detecting unit 13 detects a point where the current change ΔI / Δt changes from minus to plus and a point from plus to minus,
The period / amplitude calculator 14 calculates the current difference Ip-p between the two points.
And the time difference Tp are measured at the same time, and the oscillation cycle is calculated as the time difference Tp ×
2 and the amplitude is obtained as the current difference Ip-p. This calculation result (average value Iave, cycle Tp × 2, amplitude Ip-p)
Is sent to the abnormality determination processing section 15 and is compared with a determination reference value Tb determined in advance by the method described below to determine an abnormality. Judgment reference value Tb [s] = (60 / N [rpm]) ± β (2)

【0020】ここで、βは求めた基準値Tb に対しある
程度の幅を持たせて比較するものであって、これは駆動
電動機4の電流信号6を取り込む周期によって生じる誤
差を回避するためのものであって、通常は求めた基準値
Tb の5%〜10%の範囲で、電流信号6を取り込む周
期の3倍以上が望ましい。尚、前述の演算式(1)及び
式(2)は、設定監視装置9にて駆動電動機4の主仕様
(定格回転数等)、減速機3の減速比、ローラー1のロ
ール外径寸法等を入力しておけば、予め設定監視装置9
にて演算し、その結果を伝送処理部16、診断条件処理
部17を経由しフィルタ処理部12へ送るようにすれ
ば、ローラーテーブル診断装置7での処理が軽減される
ことになる。
Here, .beta. Is used to compare the obtained reference value Tb with a certain width, and this is for avoiding an error caused by the period of taking in the current signal 6 of the drive motor 4. Normally, it is desirable that the period for taking in the current signal 6 be three times or more in the range of 5% to 10% of the obtained reference value Tb. The above formulas (1) and (2) are used by the setting monitoring device 9 to determine the main specifications (rated speed, etc.) of the drive motor 4, the reduction ratio of the speed reducer 3, the outer diameter of the roller 1 and the like. Is input, the setting monitoring device 9 is set in advance.
If the result is sent to the filter processing unit 12 via the transmission processing unit 16 and the diagnosis condition processing unit 17, the processing in the roller table diagnosis device 7 can be reduced.

【0021】ローラー1が偏芯することとは、ロールの
中心軸に対し重心が移動することであって、この状態で
ロールが回転するとロールの回転周期で電流が脈動し、
電流の脈動振幅はロールの偏芯量による負荷トルクの変
動を現していることになる。従って、異常判定処理部1
5で予めロールの偏芯量と減速機3の減速比を考慮した
駆動電動機4の負荷電流特性を図6のように作成してお
き、周期・振幅演算部14より得られた結果と比較する
ことで、該ローラー1の偏芯の有無及び偏芯量を診断す
ることが出来る。又、診断結果は、伝送処理部16を経
由し設定監視装置9へ送り監視し、特に偏芯量の変化量
の傾向を監視することでロールの取替時期の判定等に威
力を発揮することになる。
The eccentricity of the roller 1 means that the center of gravity moves with respect to the center axis of the roll, and when the roll rotates in this state, the current pulsates in the rotation cycle of the roll,
The pulsation amplitude of the current indicates the fluctuation of the load torque due to the eccentric amount of the roll. Therefore, the abnormality determination processing unit 1
In 5, the load current characteristics of the drive motor 4 in consideration of the amount of eccentricity of the roll and the reduction ratio of the speed reducer 3 are created as shown in FIG. 6 and compared with the results obtained by the cycle / amplitude calculation unit 14. This makes it possible to diagnose whether or not the roller 1 is eccentric and the amount of eccentricity. In addition, the diagnosis result is sent to the setting monitoring device 9 via the transmission processing unit 16 and monitored, and particularly, by monitoring the tendency of the amount of change in the eccentric amount, it is effective in determining the roll replacement time and the like. become.

【0022】ところで、この様な設備診断装置におい
て、起動状態検出部18及びフィルタ処理部12にて計
測及び算出した値に対し、異常を判定する基準値を定め
比較する方法では、判定基準値の設定によって診断精度
に大きく影響を及ぼすことになり、基準値の決定には前
述したように困難を極めるうえに、ローラーテーブル診
断装置7の診断周期(通常10ms〜40ms)によって、
電流信号6の計測値にバラツキが生じることになる。
In such an equipment diagnostic apparatus, a method of determining a reference value for judging an abnormality with a value measured and calculated by the activation state detecting unit 18 and the filter processing unit 12 and comparing the values is performed. The setting has a great effect on the diagnostic accuracy, and the determination of the reference value is extremely difficult as described above. In addition, the diagnostic cycle of the roller table diagnostic device 7 (usually 10 ms to 40 ms)
The measured value of the current signal 6 varies.

【0023】従って、本発明では、起動状態検出部18
及びフィルタ処理部12から得られた値(起動電流Is
、起動時間Ts 、平均値Iave )の過去n個分のデー
タを採取して異常判定値生成部19に蓄積し、蓄積デー
タを基に標準偏差をもとめ判定基準を作成する。例え
ば、起動電流Is の判定基準を決定する方法では、過去
n回(ローラーテーブル群5の機器構成にもよるが、基
準値の演算精度の確保と該ローラーテーブル診断装置7
の記憶容量からn=200〜300回分が良い)計測し
た起動電流Is(0)、Is(1)、Is(2)、・・・・、Is(n-1)、
Is(n)を蓄積し、異常判定値生成部19において平均値
Is(ave)及び標準偏差σを求め、これより判定基準値
を、例えばIs(ave)+3σとIs(ave)−3σで異常注意
警報(軽故障)とし、Is(ave) +4σとIs(ave)−4
σで設備異常警報(重故障)と決定し、異常判定処理部
15へ送り起動状態検出部18の計測値Is と比較す
る。ここで、平均値Is(ave)の3σ及び4σを基準とし
ているが、駆動電動機4の特性によって調整すれば良
く、本発明の自由な設計範囲である。
Therefore, according to the present invention, the activation state detector 18
And the value obtained from the filter processing unit 12 (starting current Is
, The start time Ts, and the average value Iave) of the past n data are collected and stored in the abnormality determination value generation unit 19, and a standard deviation is determined based on the stored data to create a determination standard. For example, in the method of determining the criterion for determining the starting current Is, the past n times (depending on the device configuration of the roller table group 5, the calculation accuracy of the reference value is ensured and the roller table diagnostic device 7 is used).
Starting currents Is (0), Is (1), Is (2),..., Is (n-1),
Is (n) is accumulated, the average value Is (ave) and the standard deviation σ are obtained in the abnormality determination value generation unit 19, and the determination reference values are determined as abnormal values, for example, Is (ave) + 3σ and Is (ave) -3σ. Attention warning (light failure), Is (ave) + 4σ and Is (ave) -4
It is determined as a facility abnormality alarm (major failure) by σ, sent to the abnormality determination processing unit 15, and compared with the measured value Is of the activation state detection unit 18. Here, the average value Is (ave) of 3σ and 4σ is used as a reference, but may be adjusted according to the characteristics of the drive motor 4 and is a free design range of the present invention.

【0024】これと同様にして、起動状態検出部18の
起動時間Ts 及びフィルタ処理部12の平均値Iave に
ついても、過去n個分のデータを基に標準偏差値を求め
ることで、異常判定基準値を自動的に作成することが出
来る。ここで、異常判定値生成部19に蓄積するデータ
数を過去の連続したn個のデータとして説明していた
が、必ずしも連続したデータ数である必要はない。これ
は、例えば無負荷状態における安定電流の平均値Iave
に対する異常判定基準値の決定時には、該電流信号6を
ローラーテーブル診断装置7に取り込む周期を10msと
しデータ数n=300とすると、異常判定基準値を決定
するために参照する過去の実績時間が3sと短く、必ず
しも過去の運転履歴を参照したことにならず、有効な判
定基準が作成できないため、基準値として有効性を失う
ことになる。
Similarly, for the activation time Ts of the activation state detection unit 18 and the average value Iave of the filter processing unit 12, the standard deviation value is obtained based on the past n data. Values can be created automatically. Here, the number of data stored in the abnormality determination value generation unit 19 has been described as n consecutive data in the past, but the number of data need not always be continuous. This is because, for example, the average value Iave of the stable current under no load condition
When the abnormality determination reference value is determined, assuming that the cycle of taking the current signal 6 into the roller table diagnostic device 7 is 10 ms and the number of data is n = 300, the past actual time referred to for determining the abnormality determination reference value is 3 s. In short, the past operation history is not necessarily referred to, and an effective determination criterion cannot be created. Therefore, the validity is lost as a reference value.

【0025】しかし、本発明の意図するところは、起動
状態検出部18及びフィルタ処理部12で得られた過去
のデータのバラツキである標準偏差を求める統計的手法
であるから、得られた過去の連続したデータを母集団と
して考えると、その母集団から無作為にn個のデータを
サンプリングして偏差値を求めれば良いことになり、必
ずしも連続したデータを必要としない。この具体的な方
法としては、起動状態検出部18及びフィルタ処理部1
2で得られたデータに対し、例えば0〜1の数字をラン
ダムに生成する乱数発生器を用いて、乱数発生器の数値
が0.9以上の時だけ異常判定値生成部19に蓄積する
方法や、長時間タイマー(例えば10〜90分)にて定
期的に異常判定値生成部19に蓄積する方法があり、こ
れによって異常判定値生成部19に蓄積されたデータ数
nで判定基準値を求めれば、過去の長期間の運転履歴を
参照した有効性の高い基準値を求めることが出来る。こ
れによって、起動状態検出部18及びフィルタ処理部1
2で得られた過去の長期間の履歴データを母集団とし、
その中からn個のデータを採取し、そのバラツキである
偏差値を求める事で判定基準値を自動的に作成すること
が出来るために、従来のような試行錯誤による基準値を
決定する必要がなく、簡単で確実に判定基準値を求める
ことが出来る。
However, the present invention intends to use a statistical method for obtaining a standard deviation which is a variation of the past data obtained by the activation state detecting unit 18 and the filter processing unit 12, so that the obtained past past method is used. If continuous data is considered as a population, it is only necessary to randomly sample n data from the population to obtain a deviation value, and continuous data is not necessarily required. As the specific method, the activation state detection unit 18 and the filter processing unit 1
A method of using the random number generator that randomly generates numbers from 0 to 1 to the data obtained in step 2 and storing the data in the abnormality determination value generation unit 19 only when the value of the random number generator is 0.9 or more Alternatively, there is a method in which a long time timer (for example, 10 to 90 minutes) periodically accumulates in the abnormality judgment value generation unit 19, whereby the judgment reference value is calculated by the number n of data accumulated in the abnormality judgment value generation unit 19. If found, a highly effective reference value with reference to the past long-term operation history can be found. Thereby, the activation state detection unit 18 and the filter processing unit 1
The historical long-term history data obtained in 2 is used as a population,
It is necessary to determine a reference value by trial and error as in the prior art because it is possible to automatically create a judgment reference value by collecting n data from the data and calculating a deviation value that is a variation thereof. Therefore, the determination reference value can be obtained simply and reliably.

【0026】本発明によるローラーテーブルの診断の一
例として、ロール直径350[mm]、ロール長さ215
0[mm]、ロール回転数136[rpm ]のローラー1を
駆動電動機4で駆動する複数のローラーテーブルで構成
されるローラーテーブル群5の駆動電動機4から電流検
出器10で電流信号6を取り出し、該電流信号6と運転
信号11を図2及び図3のように、ローラーテーブル診
断装置7に入力する。例えば、ロールの偏芯量が18
[mm]の時の電流信号6は図5のようになり、フィルタ
処理部12で前述した演算結果から1.81〜2.72
[Hz]のフィルタ処理でノイズを除去し、ピークtoピ
ーク検出部13及び周期・振幅演算部14で電流信号6
の振動周期0.42[sec ]及び振幅3.2[A]を得
る。
As an example of the diagnosis of the roller table according to the present invention, the roll diameter is 350 [mm] and the roll length is 215.
The current signal 6 is extracted by the current detector 10 from the drive motor 4 of the roller table group 5 composed of a plurality of roller tables for driving the roller 1 having a roll speed of 136 [rpm] by the drive motor 4 at 0 [mm]. The current signal 6 and the operation signal 11 are input to the roller table diagnostic device 7 as shown in FIGS. For example, if the eccentricity of the roll is 18
The current signal 6 at the time of [mm] is as shown in FIG. 5, and the filter processing unit 12 calculates the current signal from 1.81 to 2.72 based on the calculation result described above.
[Hz] filter processing to remove noise, and the peak-to-peak detection unit 13 and the cycle / amplitude calculation unit 14
Of 0.42 [sec] and an amplitude of 3.2 [A] are obtained.

【0027】異常判定処理部15では、ロール偏芯量と
負荷電流との関係を予め定めた図6のような特性図か
ら、電流振幅が3.2[A]の時のロール偏芯量20
[mm]を得ることが出来る。この値は、ロール偏芯の実
測値18[mm]とほぼ同等といえ、実用上も問題が無い
結果を得ることが出来た。又、振動周期は136[rpm
]で回転するロールが偏芯した場合に計算上は0.4
41[sec ]で振動することになり、本発明による方法
で十分な精度を確保し、ローラーテーブルの設備診断が
可能である。
The abnormality determination processing unit 15 determines from the characteristic diagram shown in FIG. 6 that the relationship between the roll eccentricity and the load current is predetermined, when the current amplitude is 3.2 [A].
[Mm] can be obtained. This value was almost equivalent to the actually measured value of the roll eccentricity of 18 [mm], and a result having no practical problem was obtained. The vibration cycle is 136 [rpm
When the rotating roll is eccentric, the calculated value is 0.4
It vibrates at 41 [sec], and the method according to the present invention secures sufficient accuracy and makes it possible to diagnose the equipment of the roller table.

【0028】[0028]

【発明の効果】本発明は、駆動電動機の電流信号と運転
信号を入力し、運転直後の起動電流によって該電動機の
診断を行ない、該電動機の起動後の無負荷状態で電流が
安定している時に、該電流信号の振動周期及び振幅を演
算すること、ロール仕様で定まる判定基準値と比較する
ことで、複数のローラーテーブルを診断することが可能
である上に、異常判定の基準値を過去の運転履歴データ
より自動的に作成することから、鉄鋼業等の鋼材を運搬
するローラーテーブル群の設備診断に広く応用すること
が出来る。また、本発明では電流信号と運転信号のみで
設備診断が可能であるため、高価な検出器を必要とせ
ず、更に診断対象を少なくする、例えば診断点数を16
点に限定することで該診断装置の処理能力を低く設計で
きることから、低価格の小型診断装置として製作が可能
であり、可搬型にすることで機動性の高い診断装置を作
ることが出来る。
According to the present invention, a current signal and an operation signal of a driving motor are input, and the motor is diagnosed by a starting current immediately after the operation, and the current is stable in a no-load state after the starting of the motor. Sometimes, by calculating the oscillation cycle and amplitude of the current signal, and comparing it with a determination reference value determined by the roll specification, it is possible to diagnose a plurality of roller tables, and the reference value of the abnormality determination is determined in the past. Automatically created from the operation history data of the above, it can be widely applied to equipment diagnosis of a roller table group for transporting steel materials such as the steel industry. Further, according to the present invention, since the equipment diagnosis can be performed only by the current signal and the operation signal, an expensive detector is not required, and the number of diagnosis targets is further reduced.
By limiting to a point, the processing capability of the diagnostic device can be designed to be low, so that it can be manufactured as a low-cost small diagnostic device, and a portable diagnostic device can be manufactured by using a portable type.

【図面の簡単な説明】[Brief description of the drawings]

【図1】ローラーテーブルの機器構成の一例を示した構
成図である。
FIG. 1 is a configuration diagram showing an example of a device configuration of a roller table.

【図2】本発明によるローラーテーブルの設備診断を行
なう一例を示した構成図である。
FIG. 2 is a configuration diagram illustrating an example of performing equipment diagnosis of a roller table according to the present invention.

【図3】本発明によるローラーテーブル診断装置の構成
の一例を示した構成図である。
FIG. 3 is a configuration diagram showing an example of a configuration of a roller table diagnostic device according to the present invention.

【図4】本発明によるローラーテーブルの診断方法を説
明すための電流波形の一例を示した図である。
FIG. 4 is a diagram showing an example of a current waveform for explaining a roller table diagnosis method according to the present invention.

【図5】本発明による実施例でロール偏芯を診断した一
例を示した電流波形図である。
FIG. 5 is a current waveform diagram showing an example of diagnosing roll eccentricity in the embodiment according to the present invention.

【図6】本発明による実施例でロール偏芯量を求めるた
めに作成した電流振幅−偏芯量グラフの一例を示したグ
ラフである。
FIG. 6 is a graph showing an example of a current amplitude-eccentricity graph created for obtaining a roll eccentricity in an embodiment according to the present invention.

【符号の説明】[Explanation of symbols]

1 ローラー 2 軸受け 3 減速機 4 駆動電動機 5 ローラーテーブル群 6 電流信号 7 ローラーテーブル診断装置 8 伝送線 9 設定監視装置 10 電流検出器 11 運転信号 12 フィルタ処理
部 13 ピークtoピーク検出部 14 周期・振幅演算部 15 異常判定処理
部 16 伝送処理部 17 診断条件処理
部 18 起動状態検出部 19 異常判定値生
成部 20 ロール偏芯検出部
REFERENCE SIGNS LIST 1 roller 2 bearing 3 reduction gear 4 drive motor 5 roller table group 6 current signal 7 roller table diagnostic device 8 transmission line 9 setting monitoring device 10 current detector 11 operation signal 12 filter processing unit 13 peak-to-peak detection unit 14 cycle / amplitude Calculation unit 15 Abnormality determination processing unit 16 Transmission processing unit 17 Diagnosis condition processing unit 18 Activation state detection unit 19 Abnormality determination value generation unit 20 Roll eccentricity detection unit

Claims (5)

【特許請求の範囲】[Claims] 【請求項1】 円筒形のロールを電動機で駆動して鋼材
等を搬送するローラーテーブル群において、ロールを駆
動する電動機の電流信号を逐一捕らえ、運転直後の起動
電流と起動時間を検出する起動状態検出部と、安定期に
おける電流値の検出と電流の振動周期・振幅を演算する
ロール偏芯検出部によって構成される電流変化の検出機
構を有し、電動機の運転信号によって各検出部を順次に
切り替えることで、電動機の電流変化の挙動を運転開始
から停止に至るまでの運転状態に応じて連続的にローラ
ーテーブルを診断する事を特徴とするローラーテーブル
の設備診断装置。
In a roller table group for conveying a steel material by driving a cylindrical roll by an electric motor, a current state of the electric motor for driving the roll is captured one by one, and a starting current and a starting time immediately after the operation are detected. It has a detection unit and a current change detection mechanism composed of a roll eccentricity detection unit that detects the current value in the stable period and calculates the oscillation period and amplitude of the current, and sequentially detects each detection unit according to the operation signal of the electric motor. A roller table equipment diagnosis apparatus characterized in that the roller table is continuously diagnosed by changing over the current change behavior of the motor in accordance with the operation state from the start to the stop of the operation.
【請求項2】 円筒形のロールを電動機で駆動して鋼材
等を搬送するローラーテーブル群において、ロールを駆
動する電動機の電流信号を逐一捕らえ、起動状態検出部
と、ロール偏芯検出部で得られた過去の検出結果を蓄積
し、過去の測定値から標準偏差を求め、ローラーテーブ
ル設備の異常を判定する基準値を自動的に決定する異常
判定生成部を有することを特徴とするローラーテーブル
の設備診断装置。
2. A roller table group for conveying a steel material by driving a cylindrical roll by an electric motor, wherein a current signal of the electric motor for driving the roll is captured one by one and obtained by a starting state detecting unit and a roll eccentricity detecting unit. Accumulate the obtained past detection results, find the standard deviation from the past measured values, the roller table characterized in that it has an abnormality determination generation unit that automatically determines a reference value to determine the abnormality of the roller table equipment Equipment diagnostic equipment.
【請求項3】 起動状態検出部でローラーテーブルを駆
動した直後の電動機の電流信号を運転信号によって捕ら
え、その時の最大値である起動電流と駆動電動機の仕様
で決まる定格電流に達するまでの時間である起動時間を
計測し、これら計測値を異常判定生成部で決定した異常
判定基準値と比較することで、電動機単体からカップリ
ング、減速機及びロールの軸受けの設備異常を診断する
ことを特徴とするローラーテーブルの設備診断方法。
3. A current signal of the electric motor immediately after driving the roller table by the starting state detecting unit is captured by an operation signal, and a time required to reach a maximum value of the starting current at that time and a rated current determined by the specification of the driving motor is obtained. By measuring a certain start-up time and comparing these measured values with the abnormality determination reference value determined by the abnormality determination generation unit, it is possible to diagnose the coupling, reduction gear and roll bearing equipment abnormality from the motor alone. Roller table equipment diagnosis method.
【請求項4】 ロール偏芯検出部でロールを駆動する電
動機が起動完了後のローラーテーブルに搬送物が載って
いない無負荷状態の安定期に、電動機の電流信号を予め
定めた期間の最大電流値、最小電流値及び平均電流値を
計測し、これら計測値を異常判定生成部で決定した異常
判定基準値と比較することで、電動機のカップリング、
減速機及びベルト駆動プーリーの軸受けの設備異常を診
断することを特徴とするベルトコンベアの設備診断方
法。
4. A motor for driving a roll by a roll eccentricity detection unit, in a stable period in which no load is loaded on a roller table after a motor is completely started, and in which a current signal of the motor is set to a maximum current for a predetermined period. By measuring the value, the minimum current value and the average current value, and comparing these measured values with the abnormality determination reference value determined by the abnormality determination generation unit, coupling of the motor,
A method for diagnosing equipment of a belt conveyor, comprising diagnosing equipment abnormality of a reduction gear and a bearing of a belt drive pulley.
【請求項5】 ロール偏芯検出部でロールが偏芯した時
の駆動電動機の負荷電流の脈動電流をフィルタ部でノイ
ズを除去した後での電流変化をピークtoピーク検出部
で電流変化率が0になる2点間の電流差と時間を検出し
演算部で電流の脈動周期及び振幅を演算し、これをロー
ラーテーブルの仕様(ロール回転数、ロール径等)で決
定した異常判定基準値と比較することで、ロール偏芯の
有無と大きさを診断する事を特徴とするローラーテーブ
ルの設備診断方法。
5. A pulsating current of a load current of a drive motor when a roll eccentricity is detected by a roll eccentricity detecting unit. The current difference and time between the two points which become 0 are detected, and the pulsating cycle and amplitude of the current are calculated by the calculating unit, and the pulsating cycle and the amplitude are determined based on the specification of the roller table (roll rotation speed, roll diameter, etc.). A method for diagnosing the equipment of a roller table, characterized by diagnosing the presence and size of roll eccentricity by comparing.
JP12884198A 1998-05-12 1998-05-12 Equipment diagnosis method and equipment diagnosis apparatus for roller table Expired - Fee Related JP3688890B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP12884198A JP3688890B2 (en) 1998-05-12 1998-05-12 Equipment diagnosis method and equipment diagnosis apparatus for roller table

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP12884198A JP3688890B2 (en) 1998-05-12 1998-05-12 Equipment diagnosis method and equipment diagnosis apparatus for roller table

Publications (2)

Publication Number Publication Date
JPH11326147A true JPH11326147A (en) 1999-11-26
JP3688890B2 JP3688890B2 (en) 2005-08-31

Family

ID=14994723

Family Applications (1)

Application Number Title Priority Date Filing Date
JP12884198A Expired - Fee Related JP3688890B2 (en) 1998-05-12 1998-05-12 Equipment diagnosis method and equipment diagnosis apparatus for roller table

Country Status (1)

Country Link
JP (1) JP3688890B2 (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009044947A (en) * 2007-02-13 2009-02-26 Yaskawa Electric Corp Vibration detection device of feedback control system, detection method thereof, and motor control device including vibration detection device
WO2009050828A1 (en) * 2007-10-16 2009-04-23 Shikoku Research Institute Incorporated Motor device diagnosis method
JP2009229298A (en) * 2008-03-24 2009-10-08 Samsung Electronics Co Ltd Noise evaluation device and noise evaluation method
JP2012071988A (en) * 2010-08-31 2012-04-12 Ito Denki Kk Failure diagnosis method of roller conveyor, roller conveyor and controller for roller conveyor
JP2013104795A (en) * 2011-11-14 2013-05-30 Jfe Steel Corp Apparatus and method for diagnosis of abnormality
WO2013191217A1 (en) 2012-06-21 2013-12-27 伊東電機株式会社 Conveyor device and weight detection method using conveyor device
JP2015184266A (en) * 2014-03-26 2015-10-22 Jfeスチール株式会社 Device and method for detecting abnormality of outdoor conveyor motor
CN107816929A (en) * 2016-09-13 2018-03-20 株式会社三丰 Roundness measurement machine
WO2019115454A1 (en) * 2017-12-11 2019-06-20 Interroll Holding Ag Device for examining a conveyor system, and control unit, motorized roller, conveyor system, and method
WO2019115456A1 (en) * 2017-12-11 2019-06-20 Interroll Holding Ag Method for monitoring the state of a conveyor system, and control unit, motorized roller, and conveyor system for carrying out the method
WO2023119686A1 (en) * 2021-12-24 2023-06-29 株式会社日立産機システム Management device for power transmission mechanism, management method for power transmission mechanism, and management system
JP2023130912A (en) * 2022-03-08 2023-09-21 Jfeスチール株式会社 Conveyance abnormality detecting device and conveyance abnormality detecting method as well as method for constructing maximum current prediction model for detecting conveyance abnormality
CN117091836A (en) * 2023-08-02 2023-11-21 杭州杰牌传动科技有限公司 An intelligent monitoring system and method for transmission equipment based on noise characteristic analysis

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63103688A (en) * 1986-10-17 1988-05-09 Central Glass Co Ltd Diagnosing method and device for rotary equipment
JPH05201519A (en) * 1992-01-27 1993-08-10 Kawasaki Steel Corp Slip detecting method for belt conveyer
JPH0695059B2 (en) * 1988-08-16 1994-11-24 川崎製鉄株式会社 Diagnosis method of mechanical equipment by electric motor current
JPH07194186A (en) * 1993-12-28 1995-07-28 Nippon Steel Corp Abnormality diagnosis device for motor and its drive target
JPH09103051A (en) * 1995-10-06 1997-04-15 Kawasaki Steel Corp Motor load measuring method and device
JPH09196987A (en) * 1996-01-18 1997-07-31 Nec Eng Ltd Method and apparatus for monitoring state of load

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63103688A (en) * 1986-10-17 1988-05-09 Central Glass Co Ltd Diagnosing method and device for rotary equipment
JPH0695059B2 (en) * 1988-08-16 1994-11-24 川崎製鉄株式会社 Diagnosis method of mechanical equipment by electric motor current
JPH05201519A (en) * 1992-01-27 1993-08-10 Kawasaki Steel Corp Slip detecting method for belt conveyer
JPH07194186A (en) * 1993-12-28 1995-07-28 Nippon Steel Corp Abnormality diagnosis device for motor and its drive target
JPH09103051A (en) * 1995-10-06 1997-04-15 Kawasaki Steel Corp Motor load measuring method and device
JPH09196987A (en) * 1996-01-18 1997-07-31 Nec Eng Ltd Method and apparatus for monitoring state of load

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009044947A (en) * 2007-02-13 2009-02-26 Yaskawa Electric Corp Vibration detection device of feedback control system, detection method thereof, and motor control device including vibration detection device
WO2009050828A1 (en) * 2007-10-16 2009-04-23 Shikoku Research Institute Incorporated Motor device diagnosis method
JP4958976B2 (en) * 2007-10-16 2012-06-20 株式会社四国総合研究所 Diagnostic method for electric devices
JP2009229298A (en) * 2008-03-24 2009-10-08 Samsung Electronics Co Ltd Noise evaluation device and noise evaluation method
JP2012071988A (en) * 2010-08-31 2012-04-12 Ito Denki Kk Failure diagnosis method of roller conveyor, roller conveyor and controller for roller conveyor
JP2013104795A (en) * 2011-11-14 2013-05-30 Jfe Steel Corp Apparatus and method for diagnosis of abnormality
WO2013191217A1 (en) 2012-06-21 2013-12-27 伊東電機株式会社 Conveyor device and weight detection method using conveyor device
US9321598B2 (en) 2012-06-21 2016-04-26 Itoh Denki Co., Ltd. Conveyor and weight sensing method using conveyor
JP2015184266A (en) * 2014-03-26 2015-10-22 Jfeスチール株式会社 Device and method for detecting abnormality of outdoor conveyor motor
JP2018044813A (en) * 2016-09-13 2018-03-22 株式会社ミツトヨ Roundness measuring machine
CN107816929A (en) * 2016-09-13 2018-03-20 株式会社三丰 Roundness measurement machine
CN107816929B (en) * 2016-09-13 2021-11-02 株式会社三丰 Roundness measuring machine
WO2019115454A1 (en) * 2017-12-11 2019-06-20 Interroll Holding Ag Device for examining a conveyor system, and control unit, motorized roller, conveyor system, and method
WO2019115456A1 (en) * 2017-12-11 2019-06-20 Interroll Holding Ag Method for monitoring the state of a conveyor system, and control unit, motorized roller, and conveyor system for carrying out the method
US11136198B2 (en) 2017-12-11 2021-10-05 Interroll Holding Ag Device for examining a conveyor system, and control unit, motorized roller, conveyor system, and method
US11420825B2 (en) 2017-12-11 2022-08-23 Interroll Holding Ag Method for monitoring the state of a conveyor system, and control unit, motorized roller, and conveyor system for carrying out the method
WO2023119686A1 (en) * 2021-12-24 2023-06-29 株式会社日立産機システム Management device for power transmission mechanism, management method for power transmission mechanism, and management system
JPWO2023119686A1 (en) * 2021-12-24 2023-06-29
JP2023130912A (en) * 2022-03-08 2023-09-21 Jfeスチール株式会社 Conveyance abnormality detecting device and conveyance abnormality detecting method as well as method for constructing maximum current prediction model for detecting conveyance abnormality
CN117091836A (en) * 2023-08-02 2023-11-21 杭州杰牌传动科技有限公司 An intelligent monitoring system and method for transmission equipment based on noise characteristic analysis

Also Published As

Publication number Publication date
JP3688890B2 (en) 2005-08-31

Similar Documents

Publication Publication Date Title
JP3699591B2 (en) Equipment diagnosis method and apparatus for belt conveyor
JP3688890B2 (en) Equipment diagnosis method and equipment diagnosis apparatus for roller table
US10024758B2 (en) Abnormality detecting device having function for detecting abnormality of machine tool, and abnormality detecting method
US7860663B2 (en) Abnormality diagnosing apparatus and abnormality diagnosing method
JP3997528B2 (en) Rolling bearing diagnostic method and diagnostic device
KR101429952B1 (en) Diagnostic system for bearing
EP1731893B1 (en) Method and device for assessing remaining life of rolling bearing
JP5009791B2 (en) Intelligent drive
EP2199654A1 (en) Machine conditioning monitoring closed loop lubrication system and method
JP3411841B2 (en) Failure diagnosis method and failure diagnostic device
EP4253798B1 (en) Monitoring a gear wear in an electric power train
EP0536415B1 (en) Device for sensing abnormality in bearing of blower for gas laser
JP2009116420A (en) Monitoring diagnostic system for rotating machinery
JP2019158514A (en) Inspection device of bearing for passenger conveyor, and inspection method of bearing for passenger conveyor
CN116448404A (en) Abnormality monitoring method, abnormality monitoring device, electronic device, and computer-readable storage medium
KR102343793B1 (en) Data processing apparatus, data processing system, data processing method, data processing program and storage medium
JP7716221B2 (en) Rotating machine system and diagnostic method thereof
CN112602028B (en) Abnormality detection device and abnormality detection method
TWM578425U (en) Life detection system of machine tool
CN108455394A (en) Elevator rolling inspection method and device, management server and elevator control system
JPH0695059B2 (en) Diagnosis method of mechanical equipment by electric motor current
JP3659891B2 (en) Lubrication target part diagnosis system and lubrication target part diagnosis method
JPH068774B2 (en) Bearing remaining life estimation method
JP7696851B2 (en) Rolling bearing abnormality detection device and abnormality detection method
JP4511886B2 (en) Abnormality diagnosis device and abnormality diagnosis system for screw compressor

Legal Events

Date Code Title Description
A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20040130

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20050201

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20050524

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20050609

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20090617

Year of fee payment: 4

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20100617

Year of fee payment: 5

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20110617

Year of fee payment: 6

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20110617

Year of fee payment: 6

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20120617

Year of fee payment: 7

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130617

Year of fee payment: 8

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130617

Year of fee payment: 8

S531 Written request for registration of change of domicile

Free format text: JAPANESE INTERMEDIATE CODE: R313531

R350 Written notification of registration of transfer

Free format text: JAPANESE INTERMEDIATE CODE: R350

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130617

Year of fee payment: 8

S533 Written request for registration of change of name

Free format text: JAPANESE INTERMEDIATE CODE: R313533

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130617

Year of fee payment: 8

R350 Written notification of registration of transfer

Free format text: JAPANESE INTERMEDIATE CODE: R350

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

LAPS Cancellation because of no payment of annual fees