JPWO2020157818A1 - Diagnostic device and equipment equipped with it and diagnostic method - Google Patents

Abstract

It is a diagnostic device for diagnosing a mechanical device including a drive unit and a driven unit that is rotationally driven by the drive unit, and is provided at different positions to detect sounds generated from the mechanical device. It is configured to acquire a plurality of sound data including a sound detected by each of the plurality of acoustic sensors under each of a plurality of acoustic sensors for the purpose and a plurality of rotation speed conditions in which the rotation speed of the drive unit is different. Based on the sound data acquisition unit, the frequency analysis unit configured to frequency-analyze the plurality of sound data acquired for each of the plurality of rotation speed conditions, and the frequency analysis result by the frequency analysis unit. Of the plurality of acoustic sensors, for each of the one or more rotation frequency conditions in which a peak frequency common to a plurality of sound data exists, the peak frequency specifying unit for specifying the peak frequency, and the one or more rotation frequency conditions. Based on the installation position of the one acoustic sensor having the largest amplitude of the sound data corresponding to the peak frequency with respect to the mechanical device, the source of the sound having a natural frequency corresponding to the peak frequency among the mechanical devices. It is equipped with a sound source information acquisition unit that obtains information.

Description

The present disclosure relates to a diagnostic device for diagnosing a mechanical device including a drive unit and a driven unit rotationally driven by the drive unit, equipment provided with the diagnostic device, and a diagnostic method.

An acoustic sensor may be used to diagnose a mechanical device having a driven portion that is rotationally driven by a drive portion such as a motor.

For example, Patent Document 1 describes a device for detecting a phenomenon (so-called chattering) in which a striped pattern is generated on a steel sheet due to vibration of a rolling mill including a rolling roll driven by a motor. This device includes a microphone (acoustic sensor) installed in the vicinity of the rolling roll, and the microphone detects the acoustic waveform of the sound from the rolling mill. Then, based on the acoustic waveform detected in this way, the chattering described above is detected by monitoring the sound of the natural frequency of the rolling roll acquired in advance.

Japanese Unexamined Patent Publication No. 2000-158044

By the way, for a phenomenon that occurs relatively frequently, such as the above-mentioned chattering, it actually occurred by using a test device manufactured for a mechanical device (rolling machine, etc.) in which the phenomenon occurs, or in an actual machine. By analyzing the phenomenon, it is possible to identify the natural frequency of the mechanical device.
However, for events that can be problematic in mechanical equipment but occur infrequently (for example, damage to the driven part or driven part), it is costly to manufacture a test device to investigate the natural frequency of the target part or the like. In addition, it is usually difficult to specify the natural frequency by analysis based on an actual machine because the frequency of occurrence of events is low. Therefore, it is desired to specify the natural frequency of the mechanical device with a simple configuration.

In view of the above circumstances, at least one embodiment of the present invention aims to provide a diagnostic device capable of specifying the natural frequency of a mechanical device with a simple configuration, equipment provided with the diagnostic device, and a diagnostic method.

(1) The diagnostic apparatus according to at least one embodiment of the present invention is
A diagnostic device for diagnosing a mechanical device including a drive unit and a driven unit that is rotationally driven by the drive unit.
A plurality of acoustic sensors provided at different positions for detecting the sound generated from the mechanical device, and a plurality of acoustic sensors.
A sound data acquisition unit configured to acquire a plurality of sound data including sounds detected by each of the plurality of acoustic sensors under each of the plurality of rotation speed conditions in which the rotation speeds of the drive unit are different.
A frequency analysis unit configured to frequency-analyze the plurality of sound data acquired for each of the plurality of rotation speed conditions, and a frequency analysis unit.
Based on the frequency analysis result by the frequency analysis unit, one or more rotation speed conditions in which a peak frequency common to the plurality of sound data exists, a peak frequency specifying unit for specifying the peak frequency, and a peak frequency specifying unit.
For each of the one or more rotation speed conditions, the machine is based on the installation position of the one acoustic sensor having the largest amplitude of the sound data corresponding to the peak frequency among the plurality of acoustic sensors with respect to the mechanical device. Among the devices, a sound source information acquisition unit that obtains information on the source of sound having a natural frequency corresponding to the peak frequency, and a sound source information acquisition unit.
To prepare for.

According to at least one embodiment of the present invention, a diagnostic device capable of specifying the natural frequency of a mechanical device, equipment provided with the diagnostic device, and a diagnostic method are provided with a simple configuration.

It is a schematic block diagram which shows the rolling equipment (equipment) which concerns on one Embodiment. It is a schematic block diagram of the diagnostic apparatus which concerns on one Embodiment. It is a flowchart which shows the outline of the diagnosis method which concerns on one Embodiment. It is a figure which shows an example of the frequency analysis result of the sound data acquired by using a plurality of acoustic sensors under a specific motor rotation speed condition. It is a figure which shows an example of the frequency analysis result of the sound data acquired by using a plurality of acoustic sensors under a specific motor rotation speed condition. It is a figure which shows an example of the frequency analysis result of the sound data acquired by using a plurality of acoustic sensors under a specific motor rotation speed condition. It is a figure which shows an example of the information stored in the storage part which concerns on one Embodiment. It is a flowchart which shows the outline of the diagnosis method which concerns on one Embodiment.

Hereinafter, some embodiments of the present invention will be described with reference to the accompanying drawings. However, the dimensions, materials, shapes, relative arrangements, etc. of the components described as embodiments or shown in the drawings are not intended to limit the scope of the present invention to this, but are merely explanatory examples. No.

First, with reference to FIG. 1, a rolling equipment which is an example of equipment including a diagnostic apparatus according to some embodiments will be described. FIG. 1 is a schematic configuration diagram showing rolling equipment (equipment) according to an embodiment.

As shown in FIG. 1, the rolling equipment (equipment) includes a rolling apparatus 1 and a diagnostic apparatus 30 for diagnosing the rolling apparatus 1.

The rolling apparatus 1 includes a motor 2 (driving unit), a rolling roll 8 (driven unit) rotationally driven by the motor 2, and a power transmission unit 3 for transmitting the power of the motor 2 to the rolling roll 8. include.

The rolling roll 8 is configured to roll the metal strip 9, and is a pair of work rolls 12A and 12B for sandwiching the metal strip 9 from above and below and applying a load to the metal strip 9, and a pair of workpieces. The metal strip 9 with the rolls 12A and 12B sandwiched therein includes a pair of intermediate rolls 14A and 14B and a pair of backup rolls 16A and 16B provided on opposite sides, respectively. The intermediate rolls 14A and 14B are provided between the work rolls 12A and 12B and the backup rolls 16A and 16B, respectively.

The power transmission unit 3 includes a gear 4 (driven unit) and a spindle 6 (driven unit) that are rotationally driven by the motor 2. That is, the gear 4 is connected to the motor 2, and the spindle 6 is connected to the motor 2 via the gear 4. Further, the rolling roll 8 is connected to the motor 2 via the gear 4 and the spindle 6. Therefore, when the gear 4 and the spindle 6 are rotationally driven by the motor 2, the rolling roll 8 is driven by the gear 4 and the spindle 6. That is, the rotational motion of the motor 2 is transmitted to the gear 4, the spindle 6, and the rolling roll 8, and the gear 4, the spindle 6, and the rolling roll 8 rotate at a rotation speed corresponding to the output (rotation speed) of the motor 2, respectively. It is designed to do.

Next, the configuration of the diagnostic apparatus 30 according to the embodiment will be described with reference to FIGS. 1 and 2. FIG. 2 is a schematic configuration diagram of the diagnostic apparatus 30 according to the embodiment.

As shown in FIG. 1, the diagnostic apparatus 30 according to the embodiment has a plurality of acoustic sensors 32, 34A, 34B for detecting sounds generated from the rolling apparatus 1, and a plurality of acoustic sensors 32, 34A, 34B. A processing unit 36 for processing the sound data detected by the processing unit 36, a storage unit 37 for storing the processing result and the like in the processing unit 36, and a display unit 38 for displaying the processing result in the processing unit 36. , Includes.

The plurality of acoustic sensors 32, 34A, and 34B are provided at different positions.
In the illustrated embodiment, the plurality of acoustic sensors are provided corresponding to the first acoustic sensor 32 provided corresponding to the motor 2, the second acoustic sensor 34A provided corresponding to the gear 4, and the spindle 6. Includes a second acoustic sensor 34B. That is, the first acoustic sensor 32 is provided in the vicinity of the motor 2, the second acoustic sensor 34A is provided in the vicinity of the gear 4, and the second acoustic sensor 34B is provided in the vicinity of the spindle 6. In the following description, the first acoustic sensor 32 and the second acoustic sensors 34A, 34B may be collectively referred to as acoustic sensors 32, 34A, 34B and the like.
In some embodiments, the acoustic sensors 32, 34A, 34B may include a sound collecting microphone.

The processing unit 36 may include a CPU, a memory (RAM), an auxiliary storage unit, an interface, and the like. The processing unit 36 may receive sound data indicating the sound detected by the acoustic sensors 32, 34A, 34B via the interface. The CPU is configured to process the sound data received in this way. Further, the CPU is configured to process a program expanded in the memory.

The processing content in the processing unit 36 may be implemented as a program executed by the CPU and stored in the auxiliary storage unit. When the programs are executed, these programs are expanded in memory. The CPU reads the program from the memory and executes the instruction included in the program.

The storage unit 37 may include an external storage unit provided outside the device (computer or the like) constituting the processing unit 36. Alternatively, the storage unit 37 may be a storage unit provided inside the device constituting the processing unit 36, or may be, for example, the above-mentioned memory or auxiliary storage unit.

As shown in FIG. 2, the processing unit 36 includes a sound data acquisition unit 40 for acquiring sound data including sounds from the acoustic sensors 32, 34A, and 34B, and a frequency analysis unit for frequency analysis of the sound data. From 42 and the frequency analysis result, information on the peak frequency specifying unit 48 for specifying the peak frequency common to a plurality of sound data and the sound source of the natural frequency corresponding to the specified peak frequency is acquired. The sound source information acquisition unit 50 for the purpose is included. Further, the processing unit 36 has a first removing unit 44 and a second removing unit for removing a frequency component not related to the natural frequency of the rolling apparatus 1 (mechanical device) to be specified from the frequency analysis result of the sound data. Including 46. Further, the processing unit 36 diagnoses the rolling apparatus 1 based on the information regarding the natural frequency (peak frequency) specified by the peak frequency specifying unit 48 and the sound source information acquisition unit 50 and the sound source of the natural frequency. Includes a diagnostic unit 54 for doing so.

The sound data acquisition unit 40 obtains a plurality of sound data including sounds detected by each of the plurality of acoustic sensors 32, 34A, 34B under each of the plurality of rotation speed conditions in which the rotation speed of the motor 2 (drive unit) is different. Configured to get.

The frequency analysis unit 42 is configured to frequency-analyze a plurality of sound data acquired by the sound data acquisition unit 40 for each of a plurality of rotation speed conditions. In one embodiment, the frequency analysis unit 42 is configured to obtain a frequency spectrum showing a correlation between frequency and amplitude for each of a plurality of sound data by performing the above-mentioned frequency analysis.

The peak frequency specifying unit 48 is configured to specify one or more rotation speed conditions in which a peak frequency common to a plurality of sound data exists, based on the frequency analysis result by the frequency analysis unit 42.

The sound source information acquisition unit 50 is the sound corresponding to the above-mentioned common peak frequency among the plurality of acoustic sensors 32, 34A, 34B for each of the above-mentioned one or more rotation speed conditions specified by the peak frequency specifying unit 48. One acoustic sensor (any of acoustic sensors 32, 34A, 34B) having the largest data amplitude is specified. Then, based on the installation position of the specified acoustic sensor with respect to the rolling apparatus 1, it is configured to obtain information on the sound source of the natural frequency corresponding to the above-mentioned common peak frequency in the rolling apparatus 1. There is.

Here, the information regarding the sound source is information indicating the position or portion where the sound is generated in the rolling apparatus 1, that is, which of the plurality of acoustic sensors is closer to the position or portion. Information to show. For example, when the amplitude at the common peak frequency described above is the largest in the sound data acquired by the acoustic sensor 32 among the sound data acquired by the acoustic sensors 32, 34A, 34B, the common peak frequency is the rolling apparatus 1. Of these, it can be estimated that it is the natural frequency of the portion located closer to the acoustic sensor 32 than the acoustic sensors 34A and 34B. If it is input to the sound source information acquisition unit 50 that the mechanical device closest to the acoustic sensor 32 among the motor 2, the gear 4, and the spindle 6 is the motor 2, the natural vibration of the motor 2 instead of the gear 4 and the spindle 6 It can be estimated to be a number. Alternatively, even if a specific part having the natural frequency cannot be specified, the approximate position of the part having the natural frequency) can be grasped. Even if the processing unit 36 (sound source information acquisition unit 50) is configured to obtain information on which mechanical device or rolling device 1 the position is closest to which acoustic sensor in the process before and after acquiring sound data. Information may be stored in advance.

Information about the above-mentioned common peak frequency corresponding to the rotation speed condition specified by the peak frequency specifying unit 48 and the above-mentioned sound source specified by the sound source information acquisition unit 50 is stored in the storage unit 37. It has become like. The storage unit 37 is configured to store information associated with the above-mentioned common peak frequency and the above-mentioned information regarding the sound source.

The first removing unit 44 is configured to remove components having a common frequency from the frequency analysis results of a plurality of sound data by the frequency analysis unit 42, regardless of the rotation speed condition of the motor 2 (driving unit). When the above-mentioned frequency component is removed by the first removing unit 44, the sound source information acquisition unit 50 considers that the frequency component thus removed is not the natural frequency of the rolling apparatus 1, and determines the frequency component as described above. It is configured to exclude from the peak frequency to obtain information about the source of the sound.

When an amplitude peak appears at the same frequency in multiple sound data acquired under different rotation speed conditions, the frequency is derived from the background sound generated regardless of the rotation speed of the motor 2 (drive unit). It is presumed to be a thing. Therefore, as described above, when the frequency analysis results of a plurality of sound data are removed from the components having a common frequency regardless of the rotation speed condition and information on the sound source is obtained, the frequency analysis of the plurality of sound data is performed. By excluding the above-mentioned frequency components related to the background sound from the common peak frequency in the result, the natural frequency of the rolling apparatus 1 can be specified with good accuracy based on the frequency analysis results of a plurality of sound data. ..

For example, if there are a plurality of the above-mentioned common peak frequencies under a certain rotation speed condition, and one of the common peak frequencies is a frequency component removed by the first removing unit 44, it is based on another common peak frequency. It is getting information about the source of the sound of the natural frequency corresponding to the "other" peak frequency.

The second removing unit 46 is configured to remove a component whose frequency is proportional to the rotation speed of the motor 2 (driving unit) in the frequency analysis result of a plurality of sound data by the frequency analysis unit 42. When the above-mentioned frequency component is removed by the second removing unit 46, the sound source information acquisition unit 50 considers that the frequency component thus removed is not the natural frequency of the rolling apparatus 1, and determines the frequency component as described above. It is configured to exclude from the peak frequency to obtain information about the source of the sound.

When a peak of a frequency component proportional to the rotation speed of the motor 2 (driving unit) appears in a plurality of sound data acquired under different rotation speed conditions, the frequency is due to the magnitude of the rotational motion of the motor 2. It is presumed that the sound is not related to the natural frequency of the rolling apparatus 1. Therefore, as described above, when the frequency analysis result of a plurality of sound data is removed from the component whose frequency is proportional to the rotation speed of the motor 2 and information on the sound source is obtained, the frequency analysis of the plurality of sound data is performed. By excluding the above-mentioned frequency components that are not related to the natural frequency of the rolling apparatus 1 from the common peak frequency in the result, the natural frequency of the rolling apparatus 1 is accurately obtained based on the frequency analysis results of a plurality of sound data. Can be specified in.

The diagnostic unit 54 determines the amplitude of the above-mentioned peak frequency component (that is, the frequency component corresponding to the natural frequency of the specified sound source) in the frequency analysis result of the diagnostic sound data by the frequency analysis unit 42. Based on this, it is configured to determine the abnormality of the sound source.

The diagnostic sound data is acquired by the diagnostic acoustic sensor 35 in the vicinity of the rolling apparatus 1. The diagnostic acoustic sensor 35 is processed by the peak frequency specifying unit 48 and the sound source information acquisition unit 50 in order to detect the natural frequency and the sound for specifying the sound source of the natural frequency (that is, the peak frequency specifying unit 48 and the sound source information acquisition unit 50). Any of the acoustic sensors 32, 34A, 34B used (to acquire the sound data to be generated) may be used, or an acoustic sensor different from these acoustic sensors 32, 34A, 34B may be used.

In some embodiments, the sound detected by the diagnostic acoustic sensor 35 is acquired as diagnostic sound data by the sound data acquisition unit 40 described above, and the frequency analysis unit 42 frequency-analyzes the diagnostic sound data. Is done. Then, the diagnosis unit 54 described above uses the frequency analysis result to determine the abnormality of the sound source as described above.

In some embodiments, the diagnostic unit 54 has a peak frequency corresponding to the sound source identified by the peak frequency specifying unit 48 and the sound source information acquisition unit 50 in the frequency analysis result for the diagnostic sound data described above. When the amplitude of the component (that is, the frequency component of the natural frequency corresponding to the peak frequency) is equal to or higher than the threshold value, it is determined that an abnormality has occurred in the sound source.

Hereinafter, diagnostic methods according to some embodiments will be described.
First, in the diagnostic method according to the embodiment, a method of specifying the natural frequency of the rolling apparatus 1 by the above-mentioned diagnostic apparatus 30 (see FIG. 2) will be described.

FIG. 3 is a flowchart showing an outline of the diagnostic method according to the embodiment.
4 to 6 show the acoustic sensors 32, 34A, 34B under specific motor speed conditions (n [rpm] in FIG. 4, 2n [rpm] in FIG. 5, and 4n [rpm] in FIG. 6, respectively). It is a figure which shows an example of the frequency analysis result (frequency spectrum) of the sound data acquired by using. In FIGS. 4 to 6, the acoustic sensors 32, 34A, and 34B are displayed as microphone A, microphone B, and microphone C, respectively. Further, on the vertical axis of the graphs of FIGS. 4 to 6, the amplitude (intensity) of the component at the frequency f [Hz] with respect to the sound data acquired by each acoustic sensor (microphone) is I (f, a symbol indicating a microphone). Is displayed. For example, the amplitude of the sound data acquired by the acoustic sensor 32 (microphone A) at the frequency f1 is I (f1, A). When frequency analysis of actual sound data is performed, a large number of peaks usually appear over a wide frequency band in addition to the frequency components shown in FIGS. 4 to 6, but in FIGS. 4 to 6, FIGS. In order to make it easier to understand, only the frequency components with particularly large peak values are shown.
FIG. 7 is a diagram showing an example of information in which the sound source stored in the storage unit 37 and the corresponding peak frequency (natural frequency) are associated with each other.

In the following description, the plurality of rotation speed conditions are three conditions in which the rotation speed of the motor 2 is n, 2n, and 4n, and the three acoustic sensors 32, 34A, and 34B (microphones A to C) are used as the plurality of acoustic sensors. However, the number of rotation speed conditions and the number of acoustic sensors are not limited to this, and any plurality of rotation speed conditions (2 or more) and a plurality of (2 or more) acoustic sensors can be used. The diagnostic method according to the embodiment of the invention can be carried out.

As shown in FIG. 3, in the diagnostic method of the rolling apparatus 1 according to the embodiment, first, a plurality of acoustic sensors 32, 34A, 34B (that is, microphones A to C) installed at different positions are used. Each of the sounds generated from the rolling apparatus 1 is detected (sound detection step; step S102).

Then, the sound data acquisition unit 40 (see FIG. 2) includes sounds detected by the acoustic sensors 32, 34A, and 34B under each of the plurality of rotation speed conditions in which the rotation speeds of the motor 2 (drive unit) are different. A plurality of sound data are acquired by the sound data acquisition unit 40 of the processing unit 36 (sound data acquisition step; step S104). Here, sound data is obtained using each acoustic sensor under each of the three types of rotation speed conditions in which the rotation speed of the motor 2 is n, 2n (twice n) and 4n (four times n), respectively. get. That is, since sound data is acquired by the three acoustic sensors 32, 34A, and 34B for each of the three types of rotation speed conditions, nine types of sound data are acquired.

Next, the frequency analysis unit 42 performs frequency analysis on each of the plurality of sound data acquired for each of the above-mentioned plurality of rotation speed conditions (three conditions in which the motor rotation speeds are n, 2n, and 4n) (frequency analysis step; Step 106). The frequency spectra obtained as a result of this frequency analysis are FIG. 4 (when the rotation speed condition: n [rpm]), FIG. 5 (when the rotation speed condition: 2n [rpm]), and FIG. 6 (when the rotation speed condition: 4n [rpm]). In the case of rpm]).

Next, the peak frequency specifying unit 48 identifies one or more rotation speed conditions in which a peak frequency common to a plurality of sound data exists and the peak frequency (peak frequency specifying step) based on the result of the above-mentioned frequency analysis. Step S108). Specifically, as described below, the above-mentioned rotation speed condition and common peak frequency are specified.

In the frequency spectrum of the sound data related to each acoustic sensor (microphones A to C) shown in FIG. 4, it relates to each of the acoustic sensors 32, 34A, 34B (microphones A to C) at the three frequencies fa, f1 and fb. A peak appears in the sound data. Therefore, under the rotation speed condition that the rotation speed of the motor 2 is n [rpm], it is specified that the peak frequencies common to these sound data are fa, f1 and fb.

In the frequency spectrum of the sound data related to each acoustic sensor (microphones A to C) shown in FIG. 5, the acoustic sensors 32, 34A, 34B (microphones A to 34B) are used at three frequencies of fa, f2 and 2fb (twice as fb). A peak appears in the sound data related to each of C). Therefore, under the rotation speed condition that the rotation speed of the motor 2 is 2n [rpm], it is specified that the peak frequencies common to these sound data are fa, f2 and 2fb.

In the frequency spectrum of the sound data related to each acoustic sensor (microphones A to C) shown in FIG. 6, the acoustic sensors 32, 34A, 34B (microphones A to 34B) are used at three frequencies of fa, f3 and 4fb (four times fb). A peak appears in the sound data related to each of C). Therefore, under the rotation speed condition that the rotation speed of the motor 2 is 4n [rpm], it is specified that the peak frequencies common to these sound data are fa, f3 and 4fb.

Next, a plurality of sounds acquired by a plurality of acoustic sensors (mics A to C) by the first removing unit 44 under a plurality of rotation speed conditions (three conditions in which the motor rotation speeds are n, 2n, and 4n). Regarding the results of frequency analysis (frequency spectra shown in FIGS. 4 to 6) of the data (9 types of sound data), components having a common frequency are removed regardless of the rotation speed condition (first removal step; step S110).

In the nine frequency spectra shown in FIGS. 4 to 6, there is a peak of frequency fa in all of these frequency spectra. Therefore, the frequency fa component is a component that is commonly present regardless of the rotation speed condition of the motor 2 (driving unit). That is, the first removing unit 44 removes a peak having a frequency fa component for each frequency spectrum. In FIGS. 4 to 6, the peak having the frequency fa component to be removed is shown by a broken line.

Next, a plurality of sounds acquired by a plurality of acoustic sensors (mics A to C) by the second removing unit 46 under a plurality of rotation speed conditions (three conditions in which the motor rotation speeds are n, 2n, and 4n). Regarding the results of frequency analysis (frequency spectra shown in FIGS. 4 to 6) of the data (9 types of sound data), the component whose frequency is proportional to the rotation speed of the motor 2 (driving unit) is removed (second removal step; Step S112).

Here, the peak of the frequency fb is commonly present in the frequency spectrum shown in FIG. 4, that is, the three frequency spectra acquired under the condition that the rotation speed of the motor 2 is n [rpm]. Further, in the frequency spectrum shown in FIG. 5, that is, the three frequency spectra acquired under the condition that the rotation speed of the motor 2 is 2n [rpm], a peak having a frequency of 2fb is commonly present. Further, in the frequency spectrum shown in FIG. 6, that is, the three frequency spectra acquired under the condition that the rotation speed of the motor 2 is 4n [rpm], a peak having a frequency of 4fb is commonly present.
Therefore, the components of these frequencies fb, 2fb, and 4fb are components whose frequency is proportional to the rotation speed of the motor 2. That is, the second removing unit 46 removes peaks having components of frequencies fb, 2fb, and 4fb for each frequency spectrum. In addition, in FIGS. 4 to 6, the peak having the component of the frequency fb, 2fb, and 4fb to be removed is shown by the broken line.

Next, the sound source information acquisition unit 50 corresponds to the common peak frequency specified in the peak frequency specifying step (S112) among the plurality of acoustic sensors (mics A to C) for each of the one or more rotation speed conditions. Based on the installation position of the one acoustic sensor having the largest amplitude of the sound data with respect to the rolling apparatus 1, information on the sound source of the natural frequency corresponding to the common peak frequency in the rolling apparatus 1 is obtained ( Sound source information acquisition step; step S114).

In the sound source information acquisition step (S114), the frequency component removed in the first removal step (S110) may be excluded from the above-mentioned common peak frequency to obtain information on the sound source.
Further, in the sound source information acquisition step (S114), the frequency component removed by the above-mentioned second removal step (S112) may be excluded from the above-mentioned common peak frequency to obtain information on the sound source. good.

More specifically, in the three frequency spectra shown in FIG. 4 (frequency spectra of sound data acquired by three acoustic sensors (mics A to C) under a rotation speed condition in which the rotation speed of the motor 2 is n). As already mentioned, the peak frequencies fa, f1 and fb common to these sound data have been specified. Further, in the first removal step S110, the peak having the frequency fa component is removed, and in the second removal step S112, the peak having the frequency fb component is removed.

Therefore, the sound source information acquisition unit 50 excludes the frequency fa component and the frequency fb component from the peak frequencies fa, f1 and fb specified in the peak frequency specifying step for these three frequency spectra, that is, For the component of the peak frequency f1, one acoustic sensor (mics A to C) having the largest amplitude of the sound data corresponding to this peak frequency is specified.

As shown in FIG. 4, the amplitudes at the peak frequency f1 in the frequency spectrum corresponding to each acoustic sensor (mics A to C) are I (f1, A), I (f1, B), and I (f1, respectively). C), and the magnitude relationship between them is I (f1, C) ≈ I (f1, A) <I (f1, B). Therefore, the acoustic sensor that has acquired the sound data having the largest amplitude at the peak frequency f1 can be identified as the acoustic sensor 34A (microphone B).

The acoustic sensor 34A (microphone B) identified in this way is provided corresponding to the gear 4, and is closer to the gear 4 in the rolling apparatus 1 than the other acoustic sensors (acoustic sensors 32 and 34B). Since it is provided at the position, it is possible to obtain information that the sound source of the natural frequency (f1) corresponding to the peak frequency f1 is the gear 4 of the rolling apparatus 1.

Further, the three frequency spectra shown in FIG. 5 (frequency spectra of sound data acquired by three acoustic sensors (mics A to C) under a rotation speed condition in which the rotation speed of the motor 2 is 2n) have already been described. As described above, the peak frequencies fa, f2 and 2fb common to these sound data are specified. Further, in the first removal step S110, the peak having the frequency fa component is removed, and in the second removal step S112, the peak having the frequency 2fb component is removed.

Then, the sound source information acquisition unit 50 excludes the frequency fa component and the frequency 2fb component from the peak frequencies fa, f2 and 2fb specified in the peak frequency specifying step for these three frequency spectra, that is, For the component of the peak frequency f2, one acoustic sensor (mics A to C) having the largest amplitude of the sound data corresponding to this peak frequency is specified.

As shown in FIG. 5, the amplitudes at the peak frequency f2 in the frequency spectrum corresponding to each acoustic sensor (microphones A to C) are I (f2, A), I (f2, B), and I (f2, respectively). C), and these magnitude relationships are I (f2, A) <I (f2, B) <I (f2, C). Therefore, the acoustic sensor that has acquired the sound data having the largest amplitude at the peak frequency f2 can be identified as the acoustic sensor 34B (microphone C).

The acoustic sensor 34B (microphone C) identified in this way is provided corresponding to the spindle 6, and is closer to the spindle 6 in the rolling apparatus 1 than the other acoustic sensors (acoustic sensors 32 and 34A). Since it is provided at the position, it is possible to obtain information that the sound source of the natural frequency (f2) corresponding to the peak frequency f2 is the spindle 6 of the rolling apparatus 1.

Further, the three frequency spectra shown in FIG. 6 (frequency spectra of sound data acquired by three acoustic sensors (mics A to C) under a rotation speed condition in which the rotation speed of the motor 2 is 4n) have already been described. As described above, the peak frequencies fa, f3 and 4fb common to these sound data are specified. Further, in the first removal step S110, the peak having a frequency fa component is removed, and in the second removal step S112, the peak having a frequency 4fb component is removed.

Then, the sound source information acquisition unit 50 excludes the frequency fa component and the frequency 4fb component from the peak frequencies fa, f3 and 4fb specified in the peak frequency specifying step for these three frequency spectra, that is, For the component of the peak frequency f3, one acoustic sensor (mics A to C) having the largest amplitude of the sound data corresponding to this peak frequency is specified.

As shown in FIG. 6, the amplitudes at the peak frequency f3 in the frequency spectrum corresponding to each acoustic sensor (mics A to C) are I (f3, A), I (f3, B), and I (f3, respectively). C), and these magnitude relationships are I (f3, C) <I (f3, B) <I (f3, A). Therefore, the acoustic sensor that has acquired the sound data having the largest amplitude at the peak frequency f3 can be identified as the acoustic sensor 32 (microphone A).

The acoustic sensor 32 (microphone A) identified in this way is provided corresponding to the motor 2, and is closer to the motor 2 in the rolling apparatus 1 than the other acoustic sensors (acoustic sensors 34A and 34B). Since it is provided at the position, it is possible to obtain information that the sound source of the natural frequency (f3) corresponding to the peak frequency f3 is the motor 2 of the rolling apparatus 1.

Next, the common peak frequency (f1, f2, f3) corresponding to the rotation speed condition (motor rotation speed: n, 2n, 4n) of the motor 2 specified in the peak frequency specifying step (step S108) and the sound source information. Information about the sound source acquired in the acquisition step (step S114) and information associated with the information are stored in the storage unit 37 (step S116).

Here, FIG. 7 is a diagram showing an example of information stored in the storage unit 37.
As described above, the common peak frequency (f1) corresponding to the rotation speed condition of the motor 2 (motor rotation speed: n, 2n, 4n) by the peak frequency specifying step (step S108) and the sound source information acquisition step (step S114). , F2, f3) and the sound source (gear 4, spindle 6, motor 2) of the natural frequency (f1, f2, f3) corresponding to the common peak frequency (f1, f2, f3). The relationship is identified. Therefore, as shown in FIG. 7, the storage unit 37 stores the above-mentioned peak frequency (that is, the natural frequency) and information regarding the sound source of the natural frequency (the portion in the rolling apparatus 1).

In this way, the information associated with the peak frequency (natural frequency) stored in the storage unit 37 and the sound source can be used at the time of diagnosis of the rolling apparatus 1 as described later.

According to the diagnostic device and the diagnostic method described above, the data is acquired under each of the plurality of rotation speed conditions (motor rotation speed: n, 2n, 4n) by the plurality of acoustic sensors 32, 34A, 34B provided at different positions. By performing frequency analysis on each of the plurality of sound data, it is possible to grasp the peak frequency at which the amplitude becomes maximum for each sound data. Then, based on the frequency analysis result of each sound data, it is possible to specify the rotation frequency condition in which the peak frequency common to the plurality of sound data exists and to specify the peak frequency. Here, under a certain rotation speed condition, the common peak frequency existing in the plurality of sound data acquired by the plurality of acoustic sensors 32, 34A, 34B can match the natural frequency of the rolling apparatus 1 (mechanical apparatus). Since there is a property, the natural frequency of the rolling apparatus 1 can be specified.
Further, among the sound data acquired by the acoustic sensors 32, 34A, 34B under the rotation frequency condition specified as described above, the peak frequency specified as described above (that is, the natural frequency of the rolling apparatus 1). The one acoustic sensor having the largest sound amplitude at (frequency that may match) is the closest to the source of the above-mentioned peak frequency sound in the rolling apparatus 1 among the plurality of acoustic sensors 32, 34A, 34B. It can be presumed that it was installed at the position. Therefore, based on the installation position of one of the above-mentioned acoustic sensors, information on the sound source corresponding to the natural frequency of the rolling apparatus 1 (for example, the position or portion of the sound source in the rolling apparatus 1) is acquired. can do.
Therefore, according to the above-mentioned diagnostic device and diagnostic method, the natural frequency of the rolling apparatus 1 can be specified with a simple configuration including a plurality of acoustic sensors 32, 34A, 34B, and the natural frequency of the rolling apparatus 1 can be specified, and the natural frequency of the rolling apparatus 1 can be specified. Information indicating a position or part having a frequency can be acquired.

Next, a method of diagnosing the rolling apparatus 1 based on the natural frequency specified as described above will be described. Here, a case where the diagnosis target is the gear 4 will be described.

FIG. 8 is a flowchart showing an outline of the diagnostic method according to the embodiment.
As shown in FIG. 8, in the diagnostic method according to the embodiment, first, while the motor 2 (driving unit) is being operated at a specified value N, the diagnostic acoustic sensor 35 makes a sound from the rolling apparatus 1. Upon detection, the sound data acquisition unit 40 acquires diagnostic sound data including the sound (step S202). Next, the frequency analysis unit 42 performs frequency analysis on the acquired diagnostic sound data to acquire a frequency spectrum (step S204).

Then, based on the amplitude of the component of the peak frequency (natural frequency) of the diagnosis target part (for example, gear 4) in the frequency analysis result (frequency spectrum) of the diagnostic sound data, the sound source (that is, the diagnosis target part). ) Is determined (steps S206 to S208). Here, the peak frequency (natural frequency) of the diagnosis target portion is specified in the above-mentioned peak frequency specifying step (step S108) and sound source information acquisition step (step S114).

More specifically, in step S206, the amplitude at the above-mentioned peak frequency (natural frequency) f1 of the gear 4 to be diagnosed in the frequency analysis result of the diagnostic sound data is acquired. Information on the peak frequency (natural frequency) corresponding to the diagnosis target portion (gear 4) may be acquired from the storage unit 37. Then, the amplitude I thus acquired is compared with the threshold value Is. An appropriate value corresponding to the specified value N of the rotation speed of the motor 2 is set for this threshold value.

Then, when the amplitude I is less than the threshold value Is (NO in step S206), the flow of the diagnostic method is terminated without determining that there is an abnormality in the gear 4. On the other hand, when the amplitude I is equal to or greater than the threshold value Is (YES in step S206), it is determined that the gear 4 has an abnormality or a sign of an abnormality. In this case, an abnormality in the gear 4 or a sign of the abnormality may be detected on the display unit 38, or an alarm may be sounded by a speaker or the like.

The threshold value It of the amplitude I may be set to a different value depending on the rotation speed of the motor 2 (driving unit). Since the amplitude of the sound at the peak frequency component differs depending on the rotation speed of the motor 2, by setting an appropriate threshold value according to the rotation speed of the motor 2 (driving unit) in this way, an abnormality in the diagnosis target portion is obtained. The determination can be made more appropriately.

Hereinafter, the outline of the diagnostic apparatus and the diagnostic method according to some embodiments will be described.

(1) The diagnostic apparatus according to at least one embodiment of the present invention is
A diagnostic device for diagnosing a mechanical device including a drive unit and a driven unit that is rotationally driven by the drive unit.
A plurality of acoustic sensors provided at different positions for detecting the sound generated from the mechanical device, and a plurality of acoustic sensors.
A sound data acquisition unit configured to acquire a plurality of sound data including sounds detected by each of the plurality of acoustic sensors under each of the plurality of rotation speed conditions in which the rotation speeds of the drive unit are different.
A frequency analysis unit configured to frequency-analyze the plurality of sound data acquired for each of the plurality of rotation speed conditions, and a frequency analysis unit.
Based on the frequency analysis result by the frequency analysis unit, one or more rotation speed conditions in which a peak frequency common to the plurality of sound data exists, a peak frequency specifying unit for specifying the peak frequency, and a peak frequency specifying unit.
For each of the one or more rotation speed conditions, the machine is based on the installation position of the one acoustic sensor having the largest amplitude of the sound data corresponding to the peak frequency among the plurality of acoustic sensors with respect to the mechanical device. Among the devices, a sound source information acquisition unit that obtains information on the source of sound having a natural frequency corresponding to the peak frequency, and a sound source information acquisition unit.
To prepare for.

In the configuration of (1) above, the amplitude of each sound data is obtained by performing frequency analysis for each of the multiple sound data acquired under each of the plurality of rotation speed conditions by a plurality of acoustic sensors provided at different positions. It is possible to grasp the peak frequency at which is the maximum. Then, based on the frequency analysis result of each sound data, it is possible to specify the rotation frequency condition in which the peak frequency common to the plurality of sound data exists and to specify the peak frequency. Here, under a certain rotation speed condition, the common peak frequency existing in a plurality of sound data acquired by a plurality of acoustic sensors may match the natural frequency of the mechanical device, and therefore the natural vibration of the mechanical device. The number can be specified.
Further, under the rotation frequency condition specified as described above, there is a possibility that the sound data acquired by each acoustic sensor matches the peak frequency specified as described above (that is, the natural frequency of the mechanical device). It is estimated that the one acoustic sensor with the largest sound amplitude at frequency) is installed at the position closest to the source of the above-mentioned peak frequency sound in the mechanical device among the plurality of acoustic sensors. Can be done. Therefore, based on the installation position of one of the above-mentioned acoustic sensors, information on the sound source corresponding to the natural frequency of the mechanical device (for example, the position or part of the sound source in the mechanical device) is acquired. Can be done.
Therefore, according to the configuration (1) above, the natural frequency of the mechanical device can be specified by a simple configuration including a plurality of acoustic sensors, and a position or a portion having the natural frequency in the mechanical device can be specified. Information indicating that can be obtained.

(2) In some embodiments, in the configuration of (1) above,
The diagnostic device is
The frequency analysis result of the plurality of sound data is further provided with a first removing unit configured to remove components having a common frequency regardless of the rotation speed condition.
The sound source information acquisition unit is configured to exclude the frequency component removed by the first removal unit from the peak frequency to obtain information on the sound source.

When the amplitude peak appears at the same frequency in multiple sound data acquired under different rotation speed conditions, it is said that the frequency is derived from the background sound generated regardless of the rotation speed of the drive unit. Can be estimated. In this regard, according to the configuration of (2) above, the frequency analysis results of a plurality of sound data acquired by a plurality of acoustic sensors under a plurality of rotation speed conditions remove components having a common frequency regardless of the rotation speed conditions. However, when obtaining information on the sound source, the above-mentioned frequency components related to the background sound are excluded from the common peak frequency in the frequency analysis results of a plurality of sound data. Therefore, the natural frequency of the mechanical device can be specified with good accuracy based on the frequency analysis result of a plurality of sound data.

(3) In some embodiments, in the configuration of (1) or (2) above,
The diagnostic device is
The frequency analysis result of the plurality of sound data is further provided with a second removing unit configured to remove a component whose frequency is proportional to the rotation speed of the driving unit.
The sound source information acquisition unit is configured to exclude the frequency component removed by the second removal unit from the peak frequency to obtain information on the sound source.

When a peak of a frequency component proportional to the rotation speed of the drive unit appears in a plurality of sound data acquired under different rotation speed conditions, the frequency is a sound caused by the magnitude of the motion of the drive unit. It can be estimated that it is not related to the natural frequency of the mechanical device. In this regard, according to the configuration of (3) above, the frequency analysis result of a plurality of sound data acquired by a plurality of acoustic sensors under a plurality of rotation speed conditions removes a component whose frequency is proportional to the rotation speed of the drive unit. However, when obtaining information on the sound source, the above-mentioned frequency components not related to the natural frequency of the mechanical device are excluded from the common peak frequency in the frequency analysis results of a plurality of sound data. Therefore, the natural frequency of the mechanical device can be specified with good accuracy based on the frequency analysis result of a plurality of sound data.

(4) In some embodiments, in any of the configurations (1) to (3) above,
The diagnostic device is
Storage for storing information associated with the peak frequency corresponding to the rotation speed condition specified by the peak frequency specifying unit and the information regarding the sound source specified by the sound source information acquisition unit. Further prepare the part.

According to the configuration of (4) above, the peak frequency corresponding to the rotation frequency condition specified as described above (that is, the frequency that may be the natural frequency of the mechanical device) is specified as described above. Since the information related to the source of the sound and the information associated with the sound can be stored, the mechanical device can be diagnosed based on the stored information, and the mechanical device can be easily diagnosed.

(5) In some embodiments, in any of the configurations (1) to (4) above,
The diagnostic device is
A frequency analysis unit configured to frequency-analyze diagnostic sound data acquired based on the sound detected by the diagnostic acoustic sensor while the drive unit is being operated at a specified rotation speed.
The frequency analysis unit includes a diagnostic unit configured to determine an abnormality of the sound source based on the amplitude of the component of the peak frequency in the frequency analysis result of the diagnostic sound data.

The amplitude of the sound of the natural frequency of the mechanical device changes according to the rotation speed of the drive unit. In this regard, according to the configuration of (5) above, since the diagnostic sound data is acquired when the drive unit is operated at a specific rotation speed (specified value), the frequency of the diagnostic sound data is obtained. Based on the amplitude of the component of the above-mentioned peak frequency (the peak frequency specified by the configuration of the above (1)) in the analysis result, it is possible to appropriately determine the abnormality of the sound source of the peak frequency.

(6) In some embodiments, in the configuration of (5) above,
The diagnostic unit is configured to determine that an abnormality has occurred in the sound source when the amplitude of the peak frequency component is equal to or greater than the threshold value in the frequency analysis result of the diagnostic sound data.

According to the configuration of (6) above, it is appropriate to determine the abnormality of the sound source of the peak frequency by comparing the amplitude of the above-mentioned peak frequency component in the frequency analysis result of the above-mentioned diagnostic sound data with the threshold value. Can be done. The above-mentioned threshold value is based on, for example, the amplitude obtained in advance by setting the rotation speed of the drive unit to a specified value for the peak frequency (natural frequency of the mechanical device) specified by the configuration of the above-mentioned (1). Can be decided.

(7) In some embodiments, in any of the configurations (1) to (6) above,
The mechanical device is
The motor as the drive unit and
A gear or spindle as the driven portion that is rotationally driven by the motor,
With the rolling roll driven by the gear or the spindle,
It is a rolling apparatus including.

According to the configuration of (7) above, the natural frequency of the rolling apparatus including the motor as the driving part, the gear or the spindle as the driven part, and the rolling roll driven by the gear or the spindle is specified. At the same time, it is possible to acquire information indicating a position or a portion having the natural frequency in the rolling apparatus.

(8) In some embodiments, in the configuration of (7) above,
The plurality of acoustic sensors include a first acoustic sensor provided corresponding to the motor and a second acoustic sensor provided corresponding to the gear or the spindle.

According to the configuration of (8) above, the sound data is acquired by using the first acoustic sensor provided corresponding to the motor and the second acoustic sensor provided corresponding to the gear or the spindle. The natural frequency can be specified for the motor and the gear or spindle in the rolling apparatus.

(9) The equipment according to at least one embodiment of the present invention is
A mechanical device including a drive unit and a driven unit that is rotationally driven by the drive unit.
The diagnostic device according to any one of (1) to (8) above, which is configured to diagnose the mechanical device.
To prepare for.

In the configuration of (9) above, the amplitude of each sound data is obtained by performing frequency analysis for each of the multiple sound data acquired under each of the plurality of rotation speed conditions by a plurality of acoustic sensors provided at different positions. It is possible to grasp the peak frequency at which is the maximum. Then, based on the frequency analysis result of each sound data, it is possible to specify the rotation frequency condition in which the peak frequency common to the plurality of sound data exists and to specify the peak frequency. Here, under a certain rotation speed condition, the common peak frequency existing in a plurality of sound data acquired by a plurality of acoustic sensors may match the natural frequency of the mechanical device, and therefore the natural vibration of the mechanical device. The number can be specified.
Further, under the rotation frequency condition specified as described above, there is a possibility that the sound data acquired by each acoustic sensor matches the peak frequency specified as described above (that is, the natural frequency of the mechanical device). It is estimated that the one acoustic sensor with the largest sound amplitude at frequency) is installed at the position closest to the source of the above-mentioned peak frequency sound in the mechanical device among the plurality of acoustic sensors. Can be done. Therefore, based on the installation position of one of the above-mentioned acoustic sensors, information on the sound source corresponding to the natural frequency of the mechanical device (for example, the position or part of the sound source in the mechanical device) is acquired. Can be done.
Therefore, according to the configuration (9) above, the natural frequency of the mechanical device can be specified by a simple configuration including a plurality of acoustic sensors, and a position or a portion having the natural frequency in the mechanical device can be specified. Information indicating that can be obtained.

(10) The diagnostic method according to at least one embodiment of the present invention is
A diagnostic method for diagnosing a mechanical device including a drive unit and a driven unit that is rotationally driven by the drive unit.
A sound detection step that detects the sound generated from the mechanical device by a plurality of acoustic sensors installed at different positions, and
A sound data acquisition step of acquiring a plurality of sound data including sounds detected by each of the plurality of acoustic sensors under each of the plurality of rotation speed conditions in which the rotation speed of the drive unit is different.
A step of frequency analysis of the plurality of sound data acquired for each of the plurality of rotation speed conditions, and a step of frequency analysis.
Based on the result of the frequency analysis, one or more rotation speed conditions in which a peak frequency common to the plurality of sound data exists, a peak frequency specifying step for specifying the peak frequency, and a peak frequency specifying step.
For each of the one or more rotation speed conditions, the machine is based on the installation position of the one acoustic sensor having the largest amplitude of the sound data corresponding to the peak frequency among the plurality of acoustic sensors with respect to the mechanical device. Among the devices, a sound source information acquisition step for obtaining information on a sound source having a natural frequency corresponding to the peak frequency, and a sound source information acquisition step.
To prepare for.

In the method (10) above, frequency analysis is performed for each of the multiple sound data acquired under each of the plurality of rotation speed conditions by a plurality of acoustic sensors provided at different positions, and the amplitude of each sound data is obtained. It is possible to grasp the peak frequency at which is the maximum. Then, based on the frequency analysis result of each sound data, it is possible to specify the rotation frequency condition in which the peak frequency common to the plurality of sound data exists and to specify the peak frequency. Here, under a certain rotation speed condition, the common peak frequency existing in a plurality of sound data acquired by a plurality of acoustic sensors may match the natural frequency of the mechanical device, and therefore the natural vibration of the mechanical device. The number can be specified.
Further, under the rotation frequency condition specified as described above, there is a possibility that the sound data acquired by each acoustic sensor matches the peak frequency specified as described above (that is, the natural frequency of the mechanical device). It is estimated that the one acoustic sensor with the largest sound amplitude at frequency) is installed at the position closest to the source of the above-mentioned peak frequency sound in the mechanical device among the plurality of acoustic sensors. Can be done. Therefore, based on the installation position of one of the above-mentioned acoustic sensors, information on the sound source corresponding to the natural frequency of the mechanical device (for example, the position or part of the sound source in the mechanical device) is acquired. Can be done.
Therefore, according to the method (10) above, the natural frequency of the mechanical device can be specified by a simple configuration including a plurality of acoustic sensors, and a position or a portion having the natural frequency in the mechanical device can be specified. Information indicating that can be obtained.

(11) In some embodiments, the method of (10) above is
The result of the frequency analysis of the plurality of sound data is further provided with a first removal step of removing components having a common frequency regardless of the rotation speed condition.
In the sound source information acquisition step, the frequency component removed in the first removal step is excluded from the peak frequency to obtain information on the sound source.

According to the method (11) above, with respect to the frequency analysis results of a plurality of sound data acquired by a plurality of acoustic sensors under a plurality of rotation speed conditions, components having a common frequency are removed regardless of the rotation speed conditions, and the sound is produced. In obtaining information about the source of the above-mentioned frequency components related to the background sound, the above-mentioned frequency components related to the background sound are excluded from the common peak frequencies in the frequency analysis results of a plurality of sound data. Therefore, the natural frequency of the mechanical device can be specified with good accuracy based on the frequency analysis result of a plurality of sound data.

(12) In some embodiments, the method (10) or (11) above is
With respect to the result of the frequency analysis of the plurality of sound data, a second removal step of removing a component whose frequency is proportional to the rotation speed of the drive unit is further provided.
In the sound source information acquisition step, the frequency component removed by the second removal step is excluded from the peak frequency, and information regarding the sound source is obtained.

According to the method (12) above, regarding the frequency analysis results of a plurality of sound data acquired by a plurality of acoustic sensors under a plurality of rotation speed conditions, the component whose frequency is proportional to the rotation speed of the drive unit is removed, and the sound is produced. In obtaining information about the source of the above-mentioned frequency components that are not related to the natural frequency of the mechanical device, the above-mentioned frequency components that are not related to the natural frequency of the mechanical device are excluded from the common peak frequency in the frequency analysis results of a plurality of sound data. Therefore, the natural frequency of the mechanical device can be specified with good accuracy based on the frequency analysis result of a plurality of sound data.

(13) In some embodiments, any of the above methods (10) to (12) is
The storage unit stores information in which the peak frequency corresponding to the rotation speed condition specified in the peak frequency specifying step and the information regarding the sound source acquired in the sound source information acquisition step are associated with each other. Prepare more steps.

According to the method (13) above, the peak frequency corresponding to the rotation frequency condition specified as described above (that is, the frequency which may be the natural frequency of the mechanical device) is specified as described above. Since the information related to the source of the sound and the information associated with the sound can be stored, the mechanical device can be diagnosed based on the stored information, and the mechanical device can be easily diagnosed.

(14) In some embodiments, the method of any of (10) to (13) above is
A step of detecting a sound from the mechanical device with a diagnostic acoustic sensor and acquiring diagnostic sound data including the sound while the drive unit is being operated at a specified rotation speed.
The step of frequency analysis of the diagnostic sound data and
Further provided is a diagnostic step for determining an abnormality of the sound source based on the amplitude of the component of the peak frequency in the frequency analysis result of the diagnostic sound data.

According to the method (14) above, the diagnostic sound data is acquired when the drive unit is operated at a specific rotation speed (specified value), and therefore, in the frequency analysis result of the diagnostic sound data. Based on the amplitude of the component of the above-mentioned peak frequency (the peak frequency specified by the above-mentioned method (10)), it is possible to appropriately determine the abnormality of the sound source of the peak frequency. Since the rotation speed of the drive unit may be set to a different value depending on the rolling condition, the amplitude of the component of the specified peak frequency also changes according to each rotation speed.

(15) In some embodiments, in the method of (14) above,
In the diagnostic step, in the frequency analysis result of the diagnostic sound data, when the amplitude of the component of the peak frequency is equal to or larger than the threshold value, it is determined that an abnormality has occurred in the sound source.

According to the method (15) above, it is appropriate to determine the abnormality of the sound source of the peak frequency by comparing the amplitude of the above-mentioned peak frequency component in the frequency analysis result of the above-mentioned diagnostic sound data with the threshold value. Can be done. The above-mentioned threshold value is based on, for example, the amplitude obtained in advance by setting the rotation speed of the drive unit to a specified value for the peak frequency (natural frequency of the mechanical device) specified by the above-mentioned method (9). Can be decided.

(16) In some embodiments, in any of the above methods (10) to (15),
The mechanical device is
The motor as the drive unit and
A gear or spindle as the driven portion that is rotationally driven by the motor,
With the rolling roll driven by the gear or the spindle,
It is a rolling apparatus including.

According to the method (16) above, the natural frequency of a rolling apparatus including a motor as a driving part, a gear or a spindle as a driven part, and a rolling roll driven by the gear or the spindle is specified. At the same time, it is possible to acquire information indicating a position or a portion having the natural frequency in the rolling apparatus.

Although the embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and includes a modification of the above-mentioned embodiment and a combination of these embodiments as appropriate.

In the present specification, an expression representing a relative or absolute arrangement such as "in a certain direction", "along a certain direction", "parallel", "orthogonal", "center", "concentric" or "coaxial". Strictly represents not only such an arrangement, but also a tolerance or a state of relative displacement at an angle or distance to the extent that the same function can be obtained.
For example, expressions such as "same", "equal", and "homogeneous" that indicate that things are in the same state not only represent exactly the same state, but also have tolerances or differences to the extent that the same function can be obtained. It shall also represent the existing state.
Further, in the present specification, the expression representing a shape such as a quadrangular shape or a cylindrical shape not only represents a shape such as a quadrangular shape or a cylindrical shape in a geometrically strict sense, but also within a range in which the same effect can be obtained. , The shape including the uneven portion, the chamfered portion, etc. shall also be represented.
Further, in the present specification, the expression "comprising", "including", or "having" one component is not an exclusive expression excluding the existence of another component.

1 Rolling device 2 Motor 3 Power transmission unit 4 Gear 6 Spindle 8 Rolling roll 9 Metal strip 12A, 12B Work roll 14A, 14B Intermediate roll 16A, 16B Backup roll 30 Diagnostic device 32 1st acoustic sensor 34A, 34B 2nd acoustic sensor 35 Diagnostic acoustic sensor 36 Processing unit 37 Storage unit 38 Display unit 40 Sound data acquisition unit 42 Frequency analysis unit 44 First removal unit 46 Second removal unit 48 Peak frequency identification unit 50 Sound source information acquisition unit 54 Diagnostic unit

Claims (15)

A diagnostic device for diagnosing a mechanical device including a drive unit and a driven unit that is rotationally driven by the drive unit.
A plurality of acoustic sensors provided at different positions for detecting the sound generated from the mechanical device, and a plurality of acoustic sensors.
A sound data acquisition unit configured to acquire a plurality of sound data including sounds detected by each of the plurality of acoustic sensors under each of the plurality of rotation speed conditions in which the rotation speeds of the drive unit are different.
A frequency analysis unit configured to frequency-analyze the plurality of sound data acquired for each of the plurality of rotation speed conditions, and a frequency analysis unit.
Based on the frequency analysis result by the frequency analysis unit, one or more rotation speed conditions in which a peak frequency common to the plurality of sound data exists, a peak frequency specifying unit for specifying the peak frequency, and a peak frequency specifying unit.
For each of the one or more rotation speed conditions, the machine is based on the installation position of the one acoustic sensor having the largest amplitude of the sound data corresponding to the peak frequency among the plurality of acoustic sensors with respect to the mechanical device. Among the devices, a sound source information acquisition unit that obtains information on the source of sound having a natural frequency corresponding to the peak frequency, and a sound source information acquisition unit.
A diagnostic device equipped with. The frequency analysis result of the plurality of sound data is further provided with a first removing unit configured to remove components having a common frequency regardless of the rotation speed condition.
The diagnostic device according to claim 1, wherein the sound source information acquisition unit excludes a frequency component removed by the first removal unit from the peak frequency to obtain information on the sound source. The frequency analysis result of the plurality of sound data is further provided with a second removing unit configured to remove a component whose frequency is proportional to the rotation speed of the driving unit.
The diagnosis according to claim 1 or 2, wherein the sound source information acquisition unit excludes the frequency component removed by the second removal unit from the peak frequency to obtain information on the sound source. Device. Storage for storing information associated with the peak frequency corresponding to the rotation speed condition specified by the peak frequency specifying unit and the information regarding the sound source specified by the sound source information acquisition unit. The diagnostic device according to any one of claims 1 to 3, further comprising a unit. A frequency analysis unit configured to frequency-analyze diagnostic sound data acquired based on the sound detected by the diagnostic acoustic sensor while the drive unit is being operated at a specified rotation speed.
A claim comprising a diagnostic unit configured to determine an abnormality of the sound source based on the amplitude of the peak frequency component in the frequency analysis result of the diagnostic sound data by the frequency analysis unit. Item 6. The diagnostic apparatus according to any one of Items 1 to 4. The diagnostic unit is configured to determine that an abnormality has occurred in the sound source when the amplitude of the peak frequency component is equal to or greater than the threshold value in the frequency analysis result of the diagnostic sound data. Item 5. The diagnostic apparatus according to Item 5. The mechanical device is
The motor as the drive unit and
A gear or spindle as the driven portion that is rotationally driven by the motor,
With the rolling roll driven by the gear or the spindle,
The diagnostic apparatus according to any one of claims 1 to 6, which is a rolling apparatus including the above. The diagnostic device according to claim 7, wherein the plurality of acoustic sensors include a first acoustic sensor provided corresponding to the motor and a second acoustic sensor provided corresponding to the gear or the spindle. A mechanical device including a drive unit and a driven unit that is rotationally driven by the drive unit.
The diagnostic device according to any one of claims 1 to 8, which is configured to diagnose the mechanical device.
Equipment equipped with. A diagnostic method for diagnosing a mechanical device including a drive unit and a driven unit that is rotationally driven by the drive unit.
A sound detection step that detects the sound generated from the mechanical device by a plurality of acoustic sensors installed at different positions, and
A sound data acquisition step of acquiring a plurality of sound data including sounds detected by each of the plurality of acoustic sensors under each of the plurality of rotation speed conditions in which the rotation speed of the drive unit is different.
A step of frequency analysis of the plurality of sound data acquired for each of the plurality of rotation speed conditions, and a step of frequency analysis.
Based on the result of the frequency analysis, one or more rotation speed conditions in which a peak frequency common to the plurality of sound data exists, a peak frequency specifying step for specifying the peak frequency, and a peak frequency specifying step.
For each of the one or more rotation speed conditions, the machine is based on the installation position of the one acoustic sensor having the largest amplitude of the sound data corresponding to the peak frequency among the plurality of acoustic sensors with respect to the mechanical device. Among the devices, a sound source information acquisition step for obtaining information on a sound source having a natural frequency corresponding to the peak frequency, and a sound source information acquisition step.
Diagnostic method. The result of the frequency analysis of the plurality of sound data is further provided with a first removal step of removing components having a common frequency regardless of the rotation speed condition.
The diagnostic method according to claim 10, wherein in the sound source information acquisition step, the frequency component removed in the first removal step is excluded from the peak frequency to obtain information on the sound source. With respect to the result of the frequency analysis of the plurality of sound data, a second removal step of removing a component whose frequency is proportional to the rotation speed of the drive unit is further provided.
The diagnostic method according to claim 10 or 11, wherein in the sound source information acquisition step, the frequency component removed by the second removal step is excluded from the peak frequency to obtain information on the sound source. The storage unit stores information in which the peak frequency corresponding to the rotation speed condition specified in the peak frequency specifying step and the information regarding the sound source acquired in the sound source information acquisition step are associated with each other. The diagnostic method according to any one of claims 10 to 12, further comprising a step. A step of detecting a sound from the mechanical device with a diagnostic acoustic sensor and acquiring diagnostic sound data including the sound while the drive unit is being operated at a specified rotation speed.
The step of frequency analysis of the diagnostic sound data and
The invention according to any one of claims 10 to 13, further comprising a diagnostic step of determining an abnormality of the sound source based on the amplitude of the component of the peak frequency in the frequency analysis result of the diagnostic sound data. Diagnostic method. The 14th aspect of the diagnosis step, wherein it is determined that an abnormality has occurred in the sound source when the amplitude of the component of the peak frequency is equal to or larger than the threshold value in the frequency analysis result of the diagnostic sound data. Diagnostic method.

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