TWI896245B - Automatic machine status monitoring device and automatic machine status monitoring method - Google Patents

Abstract

The object of the present invention is to provide a state monitoring device for an automatic machine having a rotating shaft, which can accurately perform diagnosis of the automatic machine even when the rotational speed of the target shaft system is low and the vibration energy is small. The present invention is a state monitoring device for an automatic rotating machine having a rotating shaft system including a speed increaser or a speed reducer, and is characterized by comprising: a high-speed signal collecting unit for collecting vibration data of the high-speed shaft system on the high-speed side of the rotating shaft system; a low-speed signal collecting unit for collecting vibration data of the low-speed shaft system on the low-speed side of the rotating shaft system; a signal analyzing unit for performing frequency analysis on the vibration data to obtain analysis data; and a high-speed shaft speed estimating unit for estimating the speed of the high-speed shaft system based on the frequency of the high-speed shaft system. The high-speed shaft system analyzes the data and estimates the rotational speed of the high-speed shaft system. A low-speed shaft speed calculation unit calculates the rotational speed of the low-speed shaft system based on the speed-up ratio of the speed increaser or the speed reduction ratio of the speed reducer and the rotational speed of the high-speed shaft system estimated by the high-speed shaft speed estimation unit. A characteristic vibration extraction unit extracts a characteristic vibration component from the low-speed shaft system analysis data using the rotational speed of the low-speed shaft system calculated by the low-speed shaft speed calculation unit.

Description

Automatic machine status monitoring device and automatic machine status monitoring method

The present invention relates to a state monitoring device for monitoring the operating state of an automatic machine and a state monitoring method thereof, and more particularly to an effective state monitoring technology applicable to automatic machines having a rotating shaft.

Some equipment and machines with automated operation control operate largely unmanned. In such cases, there is a high need for measuring devices that can replace human inspectors in diagnosing the stability of the equipment.

For example, in typical wind turbines, because power generation is automatically controlled, equipment inspectors who also serve as operators stay in the machinery room and rarely check the equipment's operating status. In such cases, measuring devices are sometimes installed to assess the stability of the equipment. These devices measure the status of the equipment during operation and use the measurement results transmitted to off-system monitoring systems to verify normal operation.

In this type of condition monitoring device, for example, when monitoring a rolling bearing, a vibration sensor placed near the bearing is used to measure the bearing's vibration. The bearing's unique frequency components contained in the vibration signal are isolated and captured, and their temporal changes are recorded and observed to evaluate the bearing's stability.

The characteristic frequency components contained in the vibration signal are extracted by determining the number of vibrations generated per bearing rotation, as determined from bearing specifications. This is then multiplied by the bearing's rotational speed during measurement to determine the characteristic frequency. Frequency analysis is then performed on the vibration signal to obtain the vibration spectrum, and the vibration amplitude of the characteristic frequency in the spectrum is read. In other words, to diagnose the stability of the monitored object, in addition to obtaining the vibration spectrum from frequency analysis, it is necessary to determine the number of characteristic vibrations generated per shaft rotation and the shaft's rotational speed.

The rotational speed of the shaft is measured using a rotation sensor installed on the rotating shaft and is usually transmitted to the equipment's operation control device. When the status monitoring device is combined with the equipment's operation control device, the rotational speed of the shaft can be easily grasped through the equipment's operation control device.

On the other hand, monitoring equipment may be installed with additional monitoring devices shortly after it begins operation. This is considered a situation where operational experience with the equipment has determined the need for status monitoring. In such cases, it may be difficult to integrate the monitoring device with the equipment's operation control system, and the rotational speed of the shaft system may not be easily monitored.

Prior art in this field includes, for example, the technology disclosed in Patent Document 1. The state monitoring device disclosed in Patent Document 1 includes a memory unit and a calculation unit. The memory unit stores a plurality of results obtained from dividing a data line of a signal sampled at equal intervals from a sensor installed in a machine into a plurality of divided data lines. The calculation unit estimates a plurality of rotational speeds corresponding to the plurality of divided data lines from the plurality of results accumulated in the memory unit.

According to Patent Document 1, even when the rotation speed varies during measurement, this can be grasped, and analysis of rotating machinery can be performed with high precision.

Patent Document 2 discloses "a drum washing machine that forcibly maintains balance by rotating the drum opposite to the eccentric load position while spraying water from a spray portion toward the eccentric load elimination position. An adjustment unit adjusts the spray volume of the spray portion based on a determination value obtained by a motor current detection unit and a drum position detection unit to determine whether the balance is being accurately maintained. This ensures that the eccentric load is eliminated and that dehydration is immediately and reliably performed under high-speed rotation."

According to Patent Document 2, imbalances within the drum during dehydration startup can be eliminated, allowing the speed to quickly pass through the resonant point and rise to a constant speed, thus preventing vibration, noise, and malfunctions. [Prior Art Document] [Patent Document]

[Patent Document 1] Japanese Patent Publication No. 2018-36124 [Patent Document 2] Japanese Patent Publication No. 2012-143428

[Identify the problem you want to solve]

However, in typical wind turbines, for example, the shaft system near the generator sometimes rotates at high speed, resulting in greater vibration energy. This allows the shaft system's rotational speed to be estimated from the measured vibration data. However, the shaft system near the wind turbine shaft rotates at a lower speed, resulting in lower vibration energy, making it difficult to estimate the shaft system's rotational speed from the measured vibration data.

Patent Documents 1 and 2 mentioned above do not mention estimating the rotational speed of a low-speed rotating shaft system from vibration data.

Therefore, an object of the present invention is to provide a state monitoring device for monitoring the operating state of an automatic machine having a rotating shaft, and a state monitoring method thereof, which can accurately perform diagnosis of the automatic machine even when the rotational speed of the target shaft system is low and the vibration energy is small. [Technical Means for Solving the Problem]

In order to solve the above problems, the present invention is a state monitoring device for an automatic operating machine having a rotating shaft system including a speed increaser or a speed reducer, which is characterized by having: a high-speed signal collecting unit, which collects vibration data of the high-speed shaft system on the high-speed side of the rotating shaft system; a low-speed signal collecting unit, which collects vibration data of the low-speed shaft system on the low-speed side of the rotating shaft system; a signal analyzing unit, which performs frequency analysis on the vibration data to obtain analysis data; a high-speed shaft speed estimating unit, which is based on the above The high-speed shaft system includes an analysis data for estimating the rotational speed of the high-speed shaft system; a low-speed shaft speed calculation unit for calculating the rotational speed of the low-speed shaft system based on the speed-up ratio of the speed increaser or the speed reduction ratio of the speed reducer and the rotational speed of the high-speed shaft system estimated by the high-speed shaft speed estimation unit; and a characteristic vibration extraction unit for extracting a characteristic vibration component from the analysis data of the low-speed shaft system using the rotational speed of the low-speed shaft system calculated by the low-speed shaft speed calculation unit.

Furthermore, the present invention is a state monitoring method for an automatic rotating machine having a rotating shaft system including a speed increaser or a speed reducer, which is characterized by having the following steps: (a) collecting vibration data of the high-speed shaft system on the high-speed side of the rotating shaft system and vibration data of the low-speed shaft system on the low-speed side of the rotating shaft system; (b) performing frequency analysis on the vibration data collected in step (a) to obtain analysis data; (c) based on the vibration data collected in step (b), (d) estimating the rotational speed of the high-speed shaft system based on the analysis data of the high-speed shaft system obtained in step (c); (e) calculating the rotational speed of the low-speed shaft system based on the speed-up ratio of the speed increaser or the speed reduction ratio of the speed reducer and the rotational speed of the high-speed shaft system estimated in step (d); and (f) extracting a characteristic vibration component from the analysis data of the low-speed shaft system using the rotational speed of the low-speed shaft system calculated in step (d). [Effects of the Invention]

According to the present invention, a state monitoring device for monitoring the operating state of an automatic machine having a rotating shaft and a state monitoring method thereof can be realized, which can accurately perform diagnosis of the automatic machine even when the rotation speed of the target shaft system is low and the vibration energy is small.

Other issues, structures, and effects other than those mentioned above will become clear from the following description of the implementation forms.

The following describes embodiments of the present invention using the accompanying drawings. In the drawings, identical components are denoted by identical reference numerals, and detailed descriptions of overlapping portions are omitted. [Example 1]

1 to 3 and 6 , the state monitoring device and the state monitoring method of an automatic machine according to Embodiment 1 of the present invention will be described.

Figure 1 is a diagram schematically illustrating the configuration of a machine status monitoring device according to this embodiment. Figure 2 is a diagram schematically illustrating the vibration spectrum of a high-speed shaft system. Figure 3 is a diagram schematically illustrating the vibration spectrum of a low-speed shaft system. Figure 6 is a flow chart illustrating the machine status monitoring method according to this embodiment.

The machine status monitoring device of this embodiment is suitable for monitoring the status of rotating parts such as bearings or gears attached to the rotating shaft in automatically operated equipment and machinery such as wind power generation equipment.

As shown in FIG1 , the machine status monitoring device of this embodiment mainly comprises: a plurality of vibration sensors 21 to 24, which are installed on the automatic operating machine as the monitoring object; a signal collection device 60, which obtains information related to the operating status of the automatic operating machine through the vibration sensors 21 to 24; and a signal analysis device 70, which analyzes the information obtained by the signal collection device 60.

In the rotating shaft system of a typical wind turbine, shown in Figure 1, generator 31 is connected to speed-increasing gearbox 33 via a high-speed shaft joint 32. Speed-increasing gearbox 33 is connected to main shaft 36 via a main shaft joint 34. Main shaft 36 is rotatably supported by main bearing 35. External forces such as wind power rotate main shaft 36 at a relatively low speed of approximately 15 to 20 revolutions per minute. Speed-increasing gearbox 33 increases the rotational speed by several dozen times, resulting in generator 31 rotating at a high speed of approximately several hundred to 2,000 revolutions per minute.

In the rotating shaft system described above, the main bearing 35 or the gears (not shown) inside the speed increaser 33 are used as the status monitoring objects. The generator vibration sensor 21, the speed increaser high-speed vibration sensor 22, the speed increaser low-speed vibration sensor 23, and the main bearing vibration sensor 24 are each installed on the housing surface of each machine.

Specific examples of the vibration sensors 21 to 24 include acceleration sensors and acoustic emission sensors.

In addition, here, an automatic machine having a rotating shaft system including a speed increaser 33 is used as an example for explanation. However, depending on the type or use of the automatic machine, a speed reducer may be provided to replace the speed increaser 33. The present invention is also applicable to an automatic machine having a rotating shaft system including a speed reducer.

The vibration sensors for the high-speed shaft system, namely the generator vibration sensor 21 and the speed-increasing machine high-speed vibration sensor 22, are connected to the high-speed signal collection unit 11, and the vibration sensors for the low-speed shaft system, namely the speed-increasing machine low-speed vibration sensor 23 and the main bearing vibration sensor 24, are connected to the low-speed signal collection unit 12, and the two constitute the signal collection device 60.

The high-speed signal collection unit 11 and the low-speed signal collection unit 12 are each connected to a signal analysis unit 13. The high-speed shaft speed estimation unit 14 connected to the signal analysis unit 13 is connected to the low-speed shaft speed calculation unit 15. The signal analysis unit 13, the high-speed shaft speed estimation unit 14, and the low-speed shaft speed calculation unit 15 are all connected to the characteristic vibration extraction unit 16, thereby forming a signal analysis device 70.

The high-speed signal collection unit 11 and the low-speed signal collection unit 12 collect vibration waveforms of a certain length at pre-set time intervals and send them to the signal analysis unit 13. The signal analysis unit 13 performs a Fourier transform on the vibration waveform and outputs a vibration spectrum in the form of vibration amplitude corresponding to the vibration frequency.

Figure 2 shows an example of a high-speed shaft vibration spectrum obtained by Fourier transforming the vibration waveform of the high-speed shaft. In the high-speed shaft vibration spectrum 41, the horizontal axis represents the vibration frequency, and the vertical axis represents the vibration amplitude. The characteristic frequency component 43 of the high-speed shaft vibration is observed as a prominent peak relative to the noise level 42 of the high-speed shaft vibration.

For example, it's known that during one rotation of a rotating component, vibrations inherent to that component are generated, such as the rolling element's passing frequency in the case of a bearing, or the coupling frequency in the case of a gear. Therefore, by reading the frequency of the prominent peak in the vibration spectrum and comparing it with characteristic frequencies such as the rolling element's passing frequency or the coupling frequency, the shaft's rotational speed can be estimated. Since high-speed shaft systems rotate at higher speeds and generate greater vibration energy, these characteristic frequency components are larger, making peak detection easier.

On the other hand, as shown in Figure 3, when the rotational speed of the rotating shaft system is low and the vibration energy is low, the characteristic frequency component 46 of the low-speed shaft system vibration may not be significantly prominent relative to the noise level 45 of the low-speed shaft system vibration in the frequency spectrum 44 of the low-speed shaft system vibration. In this case, it is difficult to clearly detect this peak, and as a result, it is difficult to accurately estimate the rotational speed of the shaft system.

Therefore, in the machine status monitoring device of this embodiment, according to the structure shown in Figure 1, the time axis waveform sampled from the high-speed shaft system is Fourier transformed by the signal analysis unit 13. The high-speed shaft speed estimation unit 14 estimates the high-speed shaft speed by detecting the peak value of the characteristic frequency component. The low-speed shaft speed calculation unit 15 calculates the rotational speed of the low-speed shaft system based on the preset speed ratio of the rotating shaft system.

Furthermore, the characteristic vibration extraction unit 16 uses the estimated high-speed shaft speed to extract the characteristic frequency components of the higher-speed shaft system from the vibration spectrum of the high-speed shaft system, and uses the calculated low-speed shaft speed to extract the characteristic frequency components of the lower-speed shaft system from the vibration spectrum of the low-speed shaft system, thereby accurately diagnosing the stability of rotating parts such as bearings and gears.

FIG6 is a flow chart showing the machine status monitoring method of this embodiment.

First, in step S1, the high-speed signal collecting unit 11 collects vibration data of the high-speed shaft on the high-speed side of the rotating shaft, and the low-speed signal collecting unit 11 collects vibration data of the low-speed shaft on the low-speed side of the rotating shaft.

Next, in step S2, the collected vibration data of the high-speed shaft and the low-speed shaft are subjected to frequency analysis by the signal analysis unit 13 to obtain analysis data.

Next, in step S3, the high-speed shaft speed estimating unit 14 estimates the rotation speed of the high-speed shaft based on the analysis data of the high-speed shaft.

Next, in step S4, the low-speed shaft speed adding unit 15 calculates the rotational speed of the low-speed shaft based on the speed-increasing ratio of the speed-increasing gearbox or the speed-reducing ratio of the speed-reducing gearbox and the rotational speed of the high-speed shaft.

Next, in step S5, the characteristic vibration extracting unit 16 extracts the characteristic vibration components of the high-speed shaft system and the low-speed shaft system from the analysis data of the high-speed shaft system and the low-speed shaft system using the rotational speed of the high-speed shaft system and the rotational speed of the low-speed shaft system.

Finally, in step S6, the operating state of the rotating shaft system (automatic operating machine) is diagnosed based on the rotation speed and characteristic vibration components of the high-speed shaft system and the low-speed shaft system.

As described above, the state monitoring device of the automatic machine of this embodiment is a state monitoring device of the automatic machine having a rotating shaft system including a speed increaser 33 (or a speed reducer), which has: a high-speed signal collecting unit 11, which collects vibration data of the high-speed shaft system on the high-speed side of the rotating shaft system; a low-speed signal collecting unit 12, which collects vibration data of the low-speed shaft system on the low-speed side of the rotating shaft system; a signal analyzing unit 13, which performs frequency analysis on the vibration data to obtain analysis data; a high-speed shaft speed An estimating unit 14 estimates the rotational speed of the high-speed shaft system based on the analysis data of the high-speed shaft system; a low-speed shaft speed calculating unit 15 calculates the rotational speed of the low-speed shaft system based on the speed-up ratio of the speed increaser 33 (or the speed reduction ratio of the speed reducer) and the rotational speed of the high-speed shaft system estimated by the high-speed shaft speed estimating unit 14; and a characteristic vibration extracting unit 16 extracts a characteristic vibration component from the analysis data of the low-speed shaft system using the rotational speed of the low-speed shaft system calculated by the low-speed shaft speed calculating unit 15.

This makes it possible to diagnose automated machinery with high precision, even when the rotational speed of the target shaft system is low and the vibration energy is small.

Furthermore, the rotating shaft system is automatically operated using a motion control device (not shown), but the speed information of the rotating shaft system is not obtained from the motion control device. In other words, the state monitoring device and the motion control device of the automatically operated machine of this embodiment do not have a speed sensor for obtaining the speed information of the rotating shaft system.

For example, one approach is to install a light shield or gear on the rotating shaft and use a photo sensor to measure the number of revolutions of the light shield or gear, thereby measuring the rotation speed of the rotating shaft system. However, if a monitoring device is additionally installed, installation space and cost become issues.

Therefore, as in this embodiment, the rotational speed of the high-speed shaft system is estimated based on the analysis data of the high-speed shaft system, and the rotational speed of the low-speed shaft system is calculated from the estimated rotational speed of the high-speed shaft system. This allows the rotational speed information of the low-speed shaft system to be obtained without using a speed sensor. [Example 2]

4 , the state monitoring device and the state monitoring method of an automatic machine according to Embodiment 2 of the present invention will be described.

FIG4 is a diagram showing the schematic structure of the windmill farm of this embodiment.

As shown in Figure 4, in this embodiment, three windmills, 51 to 53, are installed at windmill farm 54, each equipped with signal collection devices 61 to 63. All signal collection devices 61 to 63 are connected to the Internet 71. An analysis station 74, located remotely from windmill farm 54, is equipped with an analysis station computer 72 connected to the Internet 71. Software installed on the computer implements the functions of the signal analysis device. The remaining configuration is the same as in Embodiment 1.

Vibration waveform data of the rotating shaft system collected at windmill farm 54 is transmitted via signal collection devices 61-63 and the internet 71 to an analysis station computer 72. The computer performs frequency analysis, estimates the rotational speed of the high-speed shaft system, calculates the rotational speed of the low-speed shaft system, and extracts characteristic frequency components, enabling high-precision diagnosis of the stability of rotating parts such as bearings and gears.

Here, multiple windmill farm signal collection devices (not shown in Figure 4) can also be connected to the analysis station computer 72 via the Internet 71. In addition, the function of the signal analysis device can also be realized using hardware instead of software.

As described above, in the state monitoring device of the automatic operating machine of this embodiment, the signal analysis unit 13 is configured at a site separate from the site where the high-speed signal collection unit 11 and the low-speed signal collection unit 12 are configured, and the high-speed signal collection unit 11 and the low-speed signal collection unit 12 are connected to the signal analysis unit 13 via the Internet 71.

This configuration allows vibration waveform data to be collected at an analysis site, eliminating the need for individual signal analysis equipment on farms and reducing the overall cost of the status monitoring system. [Example 3]

5 , the state monitoring device and the state monitoring method of an automatic machine according to Embodiment 3 of the present invention will be described.

FIG5 is a diagram showing the schematic structure of the windmill farm of this embodiment.

As shown in Figure 5, in this embodiment, three windmills, 51 to 53, are installed at windmill farm 54, each equipped with a signal collection device 61 to 63. Signal collection devices 61 to 63 are connected to a windmill farm computer 64 located within windmill farm 54 via a local area network 65. Software incorporated into the computer enables the signal analysis device to function. Windmill farm computer 64 is connected to the internet 71, and a display terminal 73 is located at an analysis station 74 located remotely from windmill farm 54. The remaining configuration is the same as that of Embodiment 2.

Vibration waveform data of the rotating shaft system collected at windmill farm 54 is transmitted via signal collection devices 61-63 via local area network 65 to a windmill farm computer 64 located within windmill farm 54. Frequency analysis, estimation of the high-speed shaft system's rotational speed, calculation of the low-speed shaft system's rotational speed, and extraction of characteristic frequency components are performed on the computer. This data is then transmitted via internet 71 to a display terminal 73 at an analysis site 74. Based on the received extracted data, display terminal 73 accurately diagnoses the stability of rotating parts such as bearings and gears.

Here, windmill farm computers 64 (not shown in FIG. 5 ) in multiple windmill farms can also be connected to the display terminal 73. Furthermore, the signal analysis device can be implemented using hardware rather than software. Furthermore, the signal analysis device can be integrated with the signal collection device, omitting the windmill farm computer 64. Alternatively, the signal analysis device or the windmill farm computer 64 can be connected to the internet 71.

Sometimes, windmill farm 54 is located in remote locations, such as in mountainous areas, and communication with analysis station 74 may be interrupted due to deteriorating weather conditions such as snowfall. In such cases, by enhancing the independence of the status monitoring device as in this embodiment, the farm can continue to collect signals independently even when communication with analysis station 74 is interrupted. In this case, the collected signals are transmitted after communication is restored, or the collected signals are manually downloaded to a storage medium by an operator.

Furthermore, by adopting the configuration of this embodiment, the amount of communication through the Internet 71 can be reduced, the communication method between the wind farm 54 and the analysis site 74 can be simplified, and the cost of introducing equipment can be reduced.

Furthermore, the present invention is not limited to the above-described embodiments and encompasses various variations. For example, the above-described embodiments are described in detail to facilitate understanding of the present invention and are not necessarily limited to all of the components described. Furthermore, a portion of the components of one embodiment may be replaced with components of another embodiment, or components of another embodiment may be added to components of one embodiment. Furthermore, other components may be added, deleted, or substituted for a portion of the components of each embodiment.

11: High-speed signal acquisition unit 12: Low-speed signal acquisition unit 13: Signal analysis unit 14: High-speed shaft speed estimation unit 15: Low-speed shaft speed calculation unit 16: Characteristic vibration acquisition unit 21: Generator vibration sensor 22: High-speed gearbox high-speed vibration sensor 23: Low-speed gearbox low-speed vibration sensor 24: Main bearing vibration sensor 31: Generator 32: High-speed shaft joint 33: Gearbox 34: Main shaft joint 35: Main bearing 36: Main shaft 41: High-speed shaft vibration frequency spectrum 42: High-speed shaft vibration noise level 43: High-speed shaft vibration characteristic frequency component 44: Frequency spectrum of low-speed shaft vibration 45: Noise level of low-speed shaft vibration 46: Characteristic frequency components of low-speed shaft vibration 51: Windmill No. 1 52: Windmill No. 2 53: Windmill No. 3 54: Windmill farm 60: Signal collection device 61: Signal collection device for windmill No. 1 62: Signal collection device for windmill No. 2 63: Signal collection device for windmill No. 3 64: Windmill farm computer 65: Local area network 70: Signal analysis device 71: Internet 72: Analysis site computer 73: Display terminal 74: Analysis site S1-S6: Steps

Figure 1 is a diagram schematically illustrating the configuration of a machine status monitoring device according to Embodiment 1 of the present invention. Figure 2 is a diagram schematically illustrating the vibration spectrum of a high-speed shaft system. Figure 3 is a diagram schematically illustrating the vibration spectrum of a low-speed shaft system. Figure 4 is a diagram schematically illustrating the configuration of a windmill farm according to Embodiment 2 of the present invention. Figure 5 is a diagram schematically illustrating the configuration of a windmill farm according to Embodiment 3 of the present invention. Figure 6 is a flow chart illustrating the machine status monitoring method according to Embodiment 1 of the present invention.

11: High-speed signal collection department

12: Low-speed signal collection unit

13: Signal Analysis Department

14: High-speed shaft speed estimation unit

15: Low-speed shaft speed calculation unit

16: Characteristic vibration capture unit

21: Vibration sensor for generator

22: High-speed vibration sensor for speed increaser

23: Low-speed vibration sensor for speed increaser

24: Vibration sensor for main bearings

31: Generator

32: High-speed shaft joint

33: Speed Increaser

34: Spindle joint

35: Main bearing

36: Main axis

60: Signal collection device

70: Signal Analysis Device

Claims (6)

A state monitoring device for an automatic machine, wherein the automatic machine has a rotating shaft system including a speed increaser or a speed reducer, and the state monitoring device comprises: a high-speed signal collecting unit for collecting vibration data of the high-speed shaft system on the high-speed side of the rotating shaft system; a low-speed signal collecting unit for collecting vibration data of the low-speed shaft system on the low-speed side of the rotating shaft system; a signal analyzing unit for performing frequency analysis on the vibration data to obtain analysis data; and a high-speed shaft speed estimating unit for estimating the speed of the high-speed shaft system based on the above-mentioned vibration data. The high-speed shaft system includes an analysis data for estimating the rotational speed of the high-speed shaft system; a low-speed shaft speed calculation unit that calculates the rotational speed of the low-speed shaft system based on the speed-increasing ratio of the speed increaser or the speed reduction ratio of the speed reducer and the rotational speed of the high-speed shaft system estimated by the high-speed shaft speed estimation unit; and a characteristic vibration extraction unit that extracts a characteristic vibration component from the analysis data of the low-speed shaft system using the rotational speed of the low-speed shaft system calculated by the low-speed shaft speed calculation unit. As for the status monitoring device of the automatic operating machine of claim 1, the above-mentioned signal analysis unit is configured at a site separate from the site where the above-mentioned high-speed signal collection unit and the above-mentioned low-speed signal collection unit are configured; the above-mentioned high-speed signal collection unit and the above-mentioned low-speed signal collection unit are connected to the above-mentioned signal analysis unit via the Internet. As for the status monitoring device of the automatic operating machine of claim 1, the above-mentioned signal analysis unit is configured at the same site as the site where the above-mentioned high-speed signal collection unit and the above-mentioned low-speed signal collection unit are configured; the above-mentioned high-speed signal collection unit and the above-mentioned low-speed signal collection unit are connected to the above-mentioned signal analysis unit via a local area network. As for the state monitoring device of the automatic operating machine of claim 1, the high-speed signal collection unit and the low-speed signal collection unit are integrally constituted with the signal analysis unit. As in claim 1, the state monitoring device for an automatically operated machine, wherein the high-speed signal collecting unit and the low-speed signal collecting unit collect vibration data from a vibration sensor installed in the automatically operated machine; the vibration sensor is either an acceleration sensor or an acoustic wave transmitting sensor. A state monitoring method for an automatic machine, wherein the automatic machine has a rotating shaft system including a speed increaser or a speed reducer, and the state monitoring method comprises the following steps: (a) collecting vibration data of a high-speed shaft system on the high-speed side of the rotating shaft system and vibration data of a low-speed shaft system on the low-speed side of the rotating shaft system; (b) performing frequency analysis on the vibration data collected in step (a) to obtain analysis data; (c) based on the above (b) Estimate the rotational speed of the high-speed shaft system based on the analysis data of the high-speed shaft system obtained in step (b); (d) Calculate the rotational speed of the low-speed shaft system based on the speed-up ratio of the speed increaser or the speed reduction ratio of the speed reducer and the rotational speed of the high-speed shaft system estimated in step (c); (e) Extract characteristic vibration components from the analysis data of the low-speed shaft system using the rotational speed of the low-speed shaft system calculated in step (d).