JP2019070570A - Rolling bearing abnormality diagnosing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a highly reliable abnormality diagnosis device even if a rolling element revolves and slips. An abnormality diagnostic device for a rolling bearing detects vibration generated by a rolling bearing having a cage provided between an inner ring, an outer ring, and an inner / outer ring and having a cage for holding the rolling elements at equal intervals in the circumferential direction. Vibration detection device that outputs as an electric signal, waveform processing device that converts the electric signal into frequency spectrum data by waveform processing, and revolution number detection that detects and outputs the revolution number of the rolling element or cage of the rolling bearing. Corresponds to the device, the reference value storage device that calculates the specific frequency component value caused by the abnormality of the rolling bearing based on the number of revolutions output by the revolution number detection device, and stores it as the reference value, and the reference value on the frequency spectrum data. It is provided with a comparison determination device for determining whether or not a peak exceeding a threshold value set at a position to be used appears, and a diagnostic device for diagnosing the state of rolling bearings based on the determination result of the comparison determination device. [Selection diagram] FIG. 6

Description

The present invention, for example, for diagnosing abnormalities such as flaws of parts constituting a rolling bearing used in a device for transmitting rotation of a shaft, such as a step-up gear of a wind turbine, without disassembling the rolling bearing. The present invention relates to an abnormality diagnosis apparatus.

  Rolling bearings (hereinafter, also simply referred to as “bearings”) incorporated in relatively large devices such as rolling mills for steel and axle bearings for rolling stock and bearings for wind turbines have bearings that are damaged if they are damaged etc. If the entire incorporated device is stopped, it is possible that the production of products and the provision of services using the device may be stopped during that time. For this reason, in order to eliminate the time loss from the stop of the device to the re-operation of the device (zero downtime), planned maintenance activities such as periodic inspection of the bearings are performed. If this kind of periodic inspection allows early detection of bearing abnormalities or damage, maintenance lead time for preparing alternative bearings can be maintained while operation is not affected while the equipment operation is affected. It is possible to secure and achieve zero downtime.

However, in the case of bearings for wind turbines, wind turbines are often installed on the ground or at high altitudes above the ocean due to the structural limitation that relatively large blades are used to effectively use wind power. For example, it is difficult to carry out periodic disassembling visual inspection as in the case of steel rolling mill bearings. For this reason, maintenance of the wind turbine bearing constantly monitors the condition of the bearing, and if a defect or the like occurs in the inner ring, outer ring, etc. constituting the bearing, this condition monitoring device promptly detects an abnormality and the wind turbine Methods are being adopted to prepare and replace alternative bearings while continuing the operation.

As a method of monitoring the condition of such a bearing, conventionally (1) lubricating oil which lubricates the bearing is recovered through a filter, and the abnormality of the bearing is determined from the amount of metal abrasion powder on the filter, (2) Detecting the temperature rise and judging abnormality (3) If any of the rolling elements, inner ring and outer ring that compose the bearing is damaged, there is no damage caused by this damage when the bearing rotates There is known a method of making an abnormality diagnosis based on the vibration of the bearing, utilizing the characteristic that the vibration larger than that is generated.

Among them, in the case of the method of detecting the amount of metal powder in (1), is it that the metal powder is generated from the bearing or is it generated from the speed increasing gear etc. constituting the speed increasing gear? It is difficult to directly determine whether or not there is an abnormality in the bearing. Also, in the method of detecting the temperature rise of the bearing in (2), the bearing abnormality that causes the temperature rise is often in a state where the damage of the bearing has considerably progressed, and it is not always easy to detect the bearing abnormality early is not.

On the other hand, in the method of diagnosing abnormality based on the vibration of the bearing of (3), for example, as described in Patent Document 1, large-sized devices such as bearings for rolling mills for steel and bearings for railway vehicles It is considered to be suitable for abnormality diagnosis of the used bearing, and is practically put to practical use in abnormality diagnosis of axle bearings for railway vehicles. FIG. 9 shows a diagnostic device described in Patent Document 1 as an example of a device that diagnoses an abnormality based on the vibration of a bearing.

The diagnostic device 110 detects the vibration generated from the bearing 101 by the detection means 111 and converts it into an electric signal. The electric signal is processed by the amplification means 108, the filter processing means 109 and the waveform processing means 112, and then the frequency spectrum data is sent to the comparison and determination means 115. FIG. 10 shows an example of frequency spectrum data which has been subjected to processing by such waveform processing means 112, which is also described in Patent Document 1. In FIG. A peak appears at the frequency indicated by the dotted line. Returning to FIG. 9, the comparison / determination means 115 calculates in advance the specific frequency component value caused by the abnormality of the bearing 101 and stores it as a reference value, and the reference value corresponding location of the above-mentioned frequency spectrum data of actual bearing vibration. The presence or absence of an abnormality of the bearing 101 is determined and diagnosed based on whether or not the peak is exposed. In calculating the reference value, the rotation speed detection means 121 measures the actual rotation speed of the rotary shaft 106 (inner ring), and calculates based on the rotation speed.

  Table 1 below describes the contents described in Patent Document 1, and shows defects of each member of the bearing, specifically, a flaw and an abnormal vibration frequency (frequency after envelope processing) generated in each member Shows the relationship between

  Based on this relationship, it is possible to identify the location where the flaw occurs depending on whether the frequency that expresses the peak of the frequency spectrum data obtained from the actual bearing vibration matches the frequency in Table 1. If they do not match, it is determined that there is no flaw.

This diagnostic method is excellent for application to the field where a heavy load acts on the bearing relatively as in the case of steel and railway vehicles as described above. However, the load acting on the bearing is not necessarily so large as in the case of the bearing for example of a wind turbine as described at the beginning, and in applications where rotation transmission (particularly transmission of high-speed rotation) is required as a main function, Even if the bearing is damaged or the like, a peak may not occur at the location corresponding to the reference value, which has been an obstacle in accurately performing abnormality diagnosis.

The inventors of the present invention proceeded to find out why the peak value does not appear at the frequency corresponding to the frequency at which the peak of the frequency spectrum data appears and the reference value correspondence, and processing of the frequency spectrum data is conventionally adopted. Since this is a technology, there should be no particular problem, and the present invention has been made on the assumption that the calculation of the reference value may have a cause. That is, it is known that "revolving slip" may occur when the load acting on the bearing is small and the pressing force between the rolling element and the raceway (inner and outer ring) raceway becomes small. The revolution slip is a slip that occurs between a rolling element revolving around the rotation axis and the raceway surface of the bearing ring. When such a revolution slip occurs, the actual number of revolutions of the rolling element (retainer) becomes smaller than in the case where there is no revolution slip.

However, the value stored as the reference value in the above-described conventional comparison / determination means is a value calculated based on the number of rotations of the rotation shaft (inner ring), and such "reversal slip" is considered. There is no theoretical value. For this reason, when the abnormality diagnosis is actually advanced, this theoretical reference value calculated based on the rotation speed of the rotation shaft (inner ring) does not correspond to the frequency spectrum data obtained from the actual bearing vibration. It is thought that a case may come out.

JP 2003-185535 A

  The present invention has been made against the background described above, and when diagnosing based on the vibration of a bearing, a highly reliable abnormality diagnosing device even when the load acting on the bearing is relatively small. Intended to provide.

The above object of the present invention is achieved by the following constitution.
(1) Detection of vibration generated by a rolling bearing having an inner ring, an outer ring, rolling elements provided between the inner and outer rings, and cages holding the rolling elements at equal intervals in the circumferential direction A vibration detection device that outputs
A waveform processing apparatus for converting the electric signal into frequency spectrum data by performing waveform processing;
A revolution number detection device that detects and outputs the revolution number of the rolling element or the cage of the rolling bearing;
A reference value storage device that calculates a specific frequency component value caused by an abnormality of the rolling bearing based on the revolution number output from the revolution number detection device, and stores it as a reference value;
A comparison and determination device that determines whether or not a peak exceeding a threshold set at a location corresponding to the reference value on the frequency spectrum data is exposed;
A diagnostic device that diagnoses the state of the rolling bearing based on the determination result of the comparison determination device;
Diagnosis device for rolling bearings equipped with.
(2) Vibration generated by a rolling bearing having an inner ring, an outer ring, rolling elements provided between the inner and outer rings, and cages for holding the rolling elements at equal intervals in the circumferential direction is detected as an electric signal A vibration detection device that outputs
A waveform processing apparatus for converting the electric signal into frequency spectrum data by performing waveform processing;
A revolution number detection device that detects and outputs the revolution number of the rolling element or the cage of the rolling bearing;
A rotation number detection device that detects the rotation number of the inner ring of the rolling bearing or the ring ring on the rotation side of the outer ring;
A first reference value storage device that calculates a specific frequency component value caused by an abnormality of the rolling bearing based on the revolution number output from the revolution number detection device and stores it as a first reference value;
A second reference value storage device that calculates a specific frequency component value caused by an abnormality in the rolling bearing based on the rotation speed output from the rotation speed detection device, and stores it as a second reference value;
A comparison determination device that determines whether a peak exceeding a threshold set at a location corresponding to either the first reference value or the second reference value on the frequency spectrum data is exposed;
A diagnostic device that diagnoses the state of the rolling bearing based on the determination result of the comparison determination device;
Diagnosis device for rolling bearings equipped with.

  According to the present invention, the specific frequency component value caused by the abnormality of the rolling bearing is calculated based on the detection result of the revolving speed detection device which detects and outputs the revolving speed of the rolling element or the cage of the rolling bearing Since the abnormality diagnosis is performed by comparing and judging the reference value and the frequency spectrum data obtained by detecting the vibration generated by the rolling bearing as a reference value, the abnormality is highly reliable even if rolling element sliding occurs. It is possible to make a diagnosis.

It is a figure explaining the wind power generator to which the abnormality-diagnosis apparatus of this invention is applied. It is a block diagram showing a schematic structure of a 1st embodiment of an abnormality diagnosis device concerning the present invention. It is a figure explaining the attachment state of the revolution number detector and vibration detector which are used for the abnormality-diagnosis apparatus of FIG. It is a figure explaining the relationship between the position of a rolling element, and distortion. It is a figure explaining the time change of distortion. It is a flowchart for demonstrating the abnormality diagnosis method by 1st Embodiment of the rolling bearing abnormality diagnosis apparatus of this invention. It is a block diagram which shows schematic structure of 2nd Embodiment of the abnormality-diagnosis apparatus based on this invention. It is a flowchart for demonstrating the abnormality diagnosis method by 2nd Embodiment of the rolling bearing abnormality diagnosis apparatus of this invention. It is a block diagram which shows schematic structure of the conventional abnormality-diagnosis apparatus. It is a figure which shows an example of a frequency spectrum.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.
First Embodiment

  FIG. 1 shows a wind power generator to which the abnormality diagnosis device according to the present invention is applied. The wind power generator 31 includes a blade (wing) 32, a main shaft 33 connected to the blade 32, a main shaft bearing 34 supporting the main shaft 33, and a step-up gear 35 to which the rotational force of the blade 32 is input via the main shaft 33 A generator 37 is connected to the output shaft (high speed shaft) 6 of the speed gear 35 to rotate. Furthermore, the wind power generator 31 has a main shaft 33, a main shaft bearing 34, a nacelle 38 accommodating the speed increasing gear 35 and the generator 37, and a tower 39 supporting the nacelle 38.

  A spherical roller bearing is adopted as the main shaft bearing 34. The speed increasing gear 35 has a low speed shaft (not shown) connected to the main shaft 33, a medium speed shaft (not shown) and a high speed shaft 6, and gears meshing with each other are fixed on these shafts. Each shaft is rotatably supported by the housing of the transmission 35 by bearings. FIG. 3 shows the rolling bearing 1 supporting the high speed shaft 6 which is the output shaft of the speed increaser 35.

  As shown in FIG. 3, the rolling bearing 1 includes the rotating shaft 6 as the high-speed shaft described above, the inner ring 2 fixed to the rotating shaft 6 and rotating with the rotating shaft 6, the outer ring 3 attached to the housing 7, the inner ring 2 and the outer ring A rolling element 4 is provided between it and 3 and revolves around the rotation shaft 6, and a cage 5 for holding the rolling elements 4 at equal intervals in the circumferential direction. Further, the vibration detector 11 and the revolution speed detector 13 are attached to the housing 7 to which the rolling bearing 1 is attached. These will be described in detail together with the description of the abnormality diagnosis device 10 described later. The rolling element 4 is a metal ball in the present embodiment.

  Returning to FIG. 1, the rolling bearing 1 supporting the high speed shaft 6 of the speed increasing gear 35 is provided with an abnormality diagnosis device 10. As shown in FIG. 2, the abnormality diagnosis device 10 includes a vibration detector 11, a waveform processing device 12, a revolution number detector 13, a reference value storage device 14, a comparison / determination device 15, and a diagnosis device 16.

The vibration detector 11 as a vibration detection device is attached to the housing 7 which accommodates the rolling bearing 1 as shown in FIG. As the vibration detector 11, various known detectors such as a piezoelectric type that converts vibration into an electric signal can be used. As a vibration detection method, an appropriate type such as an acceleration type, a velocity type, or a displacement type can be adopted. In addition, as a detection device for detecting the vibration, it is also possible to use an AE sensor, an ultrasonic sensor, a shock pulse sensor, a microphone, or any other device capable of converting the physical quantity generated due to the vibration of the rolling bearing 1 into an electrical signal. Can do.

The waveform processing device 12 performs waveform processing such as envelope FFT analysis on the electric signal output from the vibration detector 11 to obtain frequency spectrum data indicating the vibration state of the rolling bearing 1.

A strain sensor 13 as a revolving speed detecting device is attached to a housing 7 accommodating the rolling bearing 1 as shown in FIG. The strain sensor 13 has a strain gauge 13 a, which is attached to the housing 7 by an adhesive and deforms together with the housing 7.

As shown in FIG. 4, when a load P is applied to the bearing 1 from the rotating shaft 6 rotating in the arrow direction, a reaction force represented by R1 to R3 acts on the bearing 1 from the housing 7. The reaction force R1 for supporting the rolling element 4 positioned vertically downward is the largest. For this reason, as shown in FIG. 4A, when the rolling element 4 passes through the strain gauge installation location, the strain of the strain gauge 13a is deformed so that the housing 7 is pushed out and the strain ε1 becomes the largest. On the other hand, as shown in FIG. 4 (b), when the rolling element 4 does not pass through the strain gauge installation site, the reaction force R2 may not act on the strain gauge installation site, and the force to deform the housing 7 Becomes smaller, the strain ε2 becomes smaller than ε1 (ε2 <ε1).

FIG. 5 shows the relationship between strain and time, with strain on the vertical axis and time on the horizontal axis. As shown in FIG. 5, the magnitude of strain changes periodically. For this reason, the revolution period T of the rolling element 4 can be obtained by measuring the period t between strain peaks and multiplying this by the number of balls Z. The reciprocal of the revolution period T is the revolution frequency (revolution speed) fc ′. The revolution frequency of the rolling element 4 is equal to the revolution frequency of the cage 5.

  Such strain gauges 13a are attached to the outside of the housing 7, and are easy to attach. In this embodiment, as shown in FIG. 3, a notch 6a is provided on the outer peripheral surface of the housing 7, and the strain gauge 13a is attached to the notch 6a with an adhesive. The location where the strain sensor 13 is attached is not limited to the configuration attached to the outer circumferential surface of the housing, and a notch is provided on the inner circumferential surface of the housing and attached in the notch, or a notch is provided on the outer circumferential surface of the inner ring It is also possible to mount in the notch or to the end face of the housing.

Returning to FIG. 2, the reference value storage device 14 uses the actual rotation frequency fc 'of the rolling element 4 based on the detection result of the strain sensor 13 described above, and uses the inner ring defect frequency fi', the outer ring defect frequency fo ' The moving object defect frequency fb 'is calculated as a reference value, and the calculation result is stored. The procedure of reference value calculation is as follows.

First, the actual revolution frequency fc 'of the rolling element 4 detected by the strain sensor 13 is substituted into fc' of the following equation (1) to determine the rotation frequency fr 'of the inner ring 2.

In addition, in Formula (1), each symbol has shown the following parameters. Among the following parameters, the pitch circle diameter means the diameter of the circle drawn by the center of the rolling element 4 at the time of revolution.
The contact angle refers to an angle formed by a straight line connecting a contact point of the ball serving as the rolling element 4 and the inner ring 2 with a contact point of the ball and the outer ring 3 and a straight line perpendicular to the rotation axis 6.
fc ': Revolution frequency of rolling element (Hz)
fr ': Rotation frequency of inner ring (Hz)
Da: Diameter of rolling element (mm)
dm: Pitch circle diameter (mm)
α: Contact angle (degree)
z: Number of rolling elements

Then, the rotational frequency fr 'of the inner ring 2 is substituted into fr' of the following equations (2), (3) and (4). At this time, the inner ring defect frequency fi ′ is calculated by the equation (2), the outer ring defect frequency fo ′ is calculated by the equation (3), and the rolling element defect frequency fb ′ is calculated by the equation (4).

The comparison / determination device 15 compares the defect frequencies stored as reference values with the frequency spectrum obtained by performing waveform processing on the electric signal of the vibration detector 11, and a peak appears at a position corresponding to the reference value in the frequency spectrum. It is determined whether the

The diagnosis device 16 diagnoses the state of the rolling bearing 1 based on the determination result by the comparison determination device 15, that is, the presence or absence of abnormality with respect to a specific part, and the progress degree in the case of damage, and outputs the result.

Next, based on the flowchart shown in FIG. 6, the abnormality diagnosis method of the rolling bearing 1 performed in the abnormality diagnosing device 10 of the above-mentioned rolling bearing 1 is demonstrated. It is more realistic that the process of the flowchart shown in FIG. 6 is performed regularly rather than always.

When the abnormality diagnosis process starts, first, in step S61, the strain sensor 13 starts detection of the revolution frequency. The vibration detector 11 also starts detecting the vibration generated in the rolling bearing 1.

Next, in step S62, using the rotational frequency fr 'obtained from the actual revolution frequency fc' of the rolling element 4 detected by the strain sensor 13, the outer ring defect frequency fo ', the inner ring defect frequency fi' and the rolling element The defect frequency fb 'is calculated.

Next, in step S63, it is determined whether or not there is a peak exceeding a predetermined value in the frequency spectrum output from the vibration detector 11. If there is no peak in the signal as a result of the determination in step S63, the process proceeds to step S64 to determine that the rolling bearing 1 is not damaged. These determinations are performed by the comparison determination device 15.

On the other hand, when it is determined in step S63 that there is a peak, the process proceeds to step S65. In step 65, it is determined whether or not the appearing peak frequency coincides with any of the outer ring defect frequency fo ', the inner ring defect frequency fi' and the rolling element defect frequency fb 'calculated and stored in the reference value storage device 14. Do.

If it is determined in step S65 that the peak frequency does not match any of the outer ring defect frequency fo ', the inner ring defect frequency fi' and the rolling element defect frequency fb ', the process proceeds to step S66 and the diagnostic device 16 determines that an error occurs. The determination in step 65 is performed by the comparison determination device 15.

On the other hand, when the peak frequency coincides with any one of the defect frequencies fo ', fi' and fb 'described above in step S65, the process proceeds to step S67. Then, in step S67, it is determined that the rolling bearing 1 is damaged. Further, it is determined that the position of the flaw is a bearing component having a reference value (defect frequency) coincident with the peak frequency, and the process proceeds to step 68. The determination in step 67 is also performed by the comparison / determination device 15.

In step S68, a diagnosis result is output from the determination results of step S64 and step S67. That is, the diagnostic device 16
(1) The rolling bearing 1 is not damaged.
(2) The inner ring 2 of the rolling bearing 1 is damaged.
(3) The outer ring 3 of the rolling bearing 1 is scratched.
(4) The rolling element 4 of the rolling bearing 1 is damaged.
Output one of the diagnostic results.

As described above, in the present embodiment, since the abnormality diagnosis is performed based on the measured value of the revolution frequency of the rolling element 4, a highly reliable diagnosis result can be obtained regardless of the occurrence of the revolution slip. Second Embodiment>

FIG. 7 is a block diagram of a second embodiment of the abnormality diagnosis device. About the same composition as a 1st embodiment, the same numerals are attached and detailed explanation is omitted. The present embodiment is different from the first embodiment in that a rotation speed detector 21 is added to the abnormality diagnosis device 20. Along with this, the contents stored in the reference value storage unit 24 and the contents to be determined by the comparison / determination unit 25 are different.

The rotation speed detector 21 as a rotation speed detection device measures the rotation speed (rotation frequency) of the inner ring 2 (rotation shaft 6), and measures, for example, the rotation frequency fr of the inner ring 2 using a frequency sensor. As a measurement method, for example, a mark is provided on the inner ring 2 and an electrical signal indicating the rotation frequency fr is output by detecting the mark with a proximity sensor or an optical sensor.

  The reference value storage device 24 calculates defect frequencies fo ', fi', fb 'of the outer ring 3 etc. based on the revolution frequency fc' of the rolling element 4 detected by the revolution number detector (strain sensor) 13. Storing this value (first reference value) is the same as in the first embodiment. Further, in the present embodiment, theoretical defect frequencies fo, fi, fb described in Table 1 described in the conventional example at the beginning are calculated based on the inner ring rotation frequency fr detected by the rotation number detector 21. This value (second reference value) is also stored.

The comparison / determination device 25 is a theoretical defect frequency calculated based on the defect frequencies fo ', fi', fb 'and the inner ring rotational frequency fr calculated based on the revolution frequency fc' of the rolling element 4 stored as the reference value. The fo, fi, fb and the peak frequency of the frequency spectrum obtained by waveform processing the electric signal of the vibration detector 11 are compared, and it is determined whether or not the peak appears at any reference value corresponding location. Do.

The diagnosis device 16 diagnoses the state of the rolling bearing 1, that is, the presence or absence of abnormality with respect to a specific part, the presence or absence of rolling slip, etc., based on the determination result by the comparison determination device 25. When a peak appears at a position corresponding to the reference value of the frequency spectrum, it is diagnosed that there is an abnormality such as a scratch in the specific member, and at the same time, a reference value fo ', fi', fb calculated based on the revolution frequency fc '対 応 (relevant slip is considered) and theoretical reference values fo, fi, fb calculated based on the rotational frequency fr (which does not consider the revolvable slip) corresponding peak of the peak Also diagnose the presence or absence of revolution slip. In addition, the presence or absence of the revolution slip compares the actual revolution frequency fc 'of the rolling element 4 detected by the strain sensor 13 with the theoretical revolution frequency fc of the rolling element 4 calculated using the rotation frequency of the inner ring 2. It may be determined.

  Next, based on the flowchart shown in FIG. 8, an abnormality diagnosis method for the rolling bearing 1 performed in the abnormality diagnosis device 20 for the rolling bearing 1 described above will be described.

  When the abnormality diagnosis process starts, first, in step S81, the strain sensor 13 starts detection of the revolution frequency. The rotation speed detector 21 also starts detecting the rotation frequency of the inner ring 2. Furthermore, the vibration detector 11 starts detection of the vibration generated in the rolling bearing 1.

Next, in step S82, the outer ring defect frequency fo, the inner ring defect frequency fi, and the rolling element defect frequency fb, which are theoretical values, are calculated from the rotation frequency fr of the inner ring 2 detected by the rotation detector 21. Furthermore, the outer ring defect frequency fo ', the inner ring defect frequency fi' and the rolling element defect are calculated using the rotation frequency fr 'obtained from the actual rotation frequency fc' of the rolling element 4 detected by the revolution detector 13 (strain sensor). fb 'is also calculated.

  Next, in step S83, it is determined whether or not there is a peak in the frequency spectrum output from the vibration detector 11. As a result of the determination in step S83, if there is no peak in the signal, the process proceeds to step S84 and it is determined that the rolling bearing 1 is not damaged.

If it is determined in step S83 that there is a peak, the process proceeds to step S85.

In step 85, whether or not the peak frequency of the appearing peak matches any of the outer ring defect frequency fo ', the inner ring defect frequency fi' and the rolling element defect frequency fb 'calculated and stored in the reference value storage device 24 Determine if If the peak frequency matches one of the defect frequencies fo ', fi' and fb 'of the outer ring etc., the process proceeds to step S86. Then, in step 86, it is determined that the rolling bearing 1 is scratched and there is a revolution slip. Furthermore, it is determined that the position of the flaw is a bearing component having a reference value that matches the peak frequency.

  On the other hand, when it is determined in step S85 that the peak frequency does not match any of the defect frequencies fo ', fi', fb 'of the outer ring etc., the process proceeds to step S87.

In step 87, it is determined whether the peak frequency matches any of the theoretical values of the outer ring defect frequency fo, the inner ring defect frequency fi and the rolling element defect frequency fb. If it is determined that the peak frequency matches one of the defect frequencies fo, fi, fb of the outer ring etc. as a result of the determination in step S87, the process proceeds to step 88. Then, in step 88, the rolling bearing 1 has a flaw, and it is determined that the rolling element 4 does not have an orbital slip. Furthermore, it is determined that the position of the flaw is a bearing component having a reference value that matches the peak frequency.

  If it is determined in step S87 that the peak frequency does not match any of the defect frequencies fo, fi, fb, it is determined in step S89 that the detection of the peak is "error".

In step S90, a diagnosis result is output based on the determination results of step S84, step S86 and step S88. That is, the diagnostic device 26
(1) The rolling bearing 1 is not damaged.
(2) The inner ring 2 of the rolling bearing 1 is scratched and does not slip.
(3) The inner ring 2 of the rolling bearing 1 is scratched and slippaged.
(4) The outer ring 3 of the rolling bearing 1 is scratched and does not slip.
(5) The outer ring 3 of the rolling bearing 1 is scratched and slippaged.
(6) The rolling element 4 of the rolling bearing 1 is damaged and does not slip.
(7) The rolling element 4 of the rolling bearing 1 is scratched and slippaged.
Output one of the diagnostic results.

  As described above, also in the present embodiment, in addition to the effect that the highly reliable diagnostic result obtained in the first embodiment can be obtained, it is also possible to grasp whether rolling element slippage has occurred or not. . As a result, it is possible to carry out maintenance taking into consideration the degree of urgency of handling based on more comprehensive information not only including the presence or absence of scratches but also rolling element slip.

  The present invention is not limited to the above-described embodiment, and appropriate modifications, improvements, and the like can be made. For example, application of abnormality diagnosis is not limited to a step-up gear for a wind turbine, and for example, a bearing for a reduction gear for a robot arm, a jet engine main shaft, a gas turbine main shaft, a machine tool main shaft It is possible to apply to a compressor for a turbo refrigerator and the like.

DESCRIPTION OF SYMBOLS 1 rolling bearing 2 inner ring 3 outer ring 4 rolling element 5 cage 10, 20 abnormality diagnosis device 11 vibration detector 12 waveform processing device 13 revolution number detector 14, 24 reference value storage device 15, 25 comparison / determination device 16, 26 diagnosis device 21 RPM detector

Claims (2)

Vibration generated by detecting a vibration generated by a rolling bearing having an inner ring, an outer ring, rolling elements provided between the inner and outer rings, and cages holding the rolling elements at equal intervals in the circumferential direction, and output as an electric signal A detection device,
A waveform processing apparatus for converting the electric signal into frequency spectrum data by performing waveform processing;
A revolution number detection device that detects and outputs the revolution number of the rolling element or the cage of the rolling bearing;
A reference value storage device that calculates a specific frequency component value caused by an abnormality of the rolling bearing based on the revolution number output from the revolution number detection device, and stores it as a reference value;
A comparison and determination device that determines whether or not a peak exceeding a threshold set at a location corresponding to the reference value on the frequency spectrum data is exposed;
A diagnostic device that diagnoses the state of the rolling bearing based on the determination result of the comparison determination device;
Diagnosis device for rolling bearings equipped with. Vibration generated by detecting a vibration generated by a rolling bearing having an inner ring, an outer ring, rolling elements provided between the inner and outer rings, and cages holding the rolling elements at equal intervals in the circumferential direction, and output as an electric signal A detection device,
A waveform processing apparatus for converting the electric signal into frequency spectrum data by performing waveform processing;
A revolution number detection device that detects and outputs the revolution number of the rolling element or the cage of the rolling bearing;
A rotation number detection device that detects the rotation number of the inner ring of the rolling bearing or the ring ring on the rotation side of the outer ring;
A first reference value storage device that calculates a specific frequency component value caused by an abnormality of the rolling bearing based on the revolution number output from the revolution number detection device and stores it as a first reference value;
A second reference value storage device that calculates a specific frequency component value caused by an abnormality in the rolling bearing based on the rotation speed output from the rotation speed detection device, and stores it as a second reference value;
A comparison determination device that determines whether a peak exceeding a threshold set at a location corresponding to either the first reference value or the second reference value on the frequency spectrum data is exposed;
A diagnostic device that diagnoses the state of the rolling bearing based on the determination result of the comparison determination device;
Diagnosis device for rolling bearings equipped with.

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