WO2022131170A1 - Dispositif de détection d'anomalie, procédé de détection d'anomalie, programme de détection d'anomalie et système de détection d'anomalie dans un palier - Google Patents

Dispositif de détection d'anomalie, procédé de détection d'anomalie, programme de détection d'anomalie et système de détection d'anomalie dans un palier Download PDF

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Publication number
WO2022131170A1
WO2022131170A1 PCT/JP2021/045659 JP2021045659W WO2022131170A1 WO 2022131170 A1 WO2022131170 A1 WO 2022131170A1 JP 2021045659 W JP2021045659 W JP 2021045659W WO 2022131170 A1 WO2022131170 A1 WO 2022131170A1
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WO
WIPO (PCT)
Prior art keywords
abnormality
signal
frequency
data
bearing
Prior art date
Application number
PCT/JP2021/045659
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English (en)
Japanese (ja)
Inventor
聡志 木村
Original Assignee
ミツミ電機株式会社
聡志 木村
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by ミツミ電機株式会社, 聡志 木村 filed Critical ミツミ電機株式会社
Publication of WO2022131170A1 publication Critical patent/WO2022131170A1/fr

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16C—SHAFTS; FLEXIBLE SHAFTS; ELEMENTS OR CRANKSHAFT MECHANISMS; ROTARY BODIES OTHER THAN GEARING ELEMENTS; BEARINGS
    • F16C19/00—Bearings with rolling contact, for exclusively rotary movement
    • F16C19/02—Bearings with rolling contact, for exclusively rotary movement with bearing balls essentially of the same size in one or more circular rows
    • F16C19/04—Bearings with rolling contact, for exclusively rotary movement with bearing balls essentially of the same size in one or more circular rows for radial load mainly
    • F16C19/06—Bearings with rolling contact, for exclusively rotary movement with bearing balls essentially of the same size in one or more circular rows for radial load mainly with a single row or balls
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16C—SHAFTS; FLEXIBLE SHAFTS; ELEMENTS OR CRANKSHAFT MECHANISMS; ROTARY BODIES OTHER THAN GEARING ELEMENTS; BEARINGS
    • F16C19/00—Bearings with rolling contact, for exclusively rotary movement
    • F16C19/52—Bearings with rolling contact, for exclusively rotary movement with devices affected by abnormal or undesired conditions
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16C—SHAFTS; FLEXIBLE SHAFTS; ELEMENTS OR CRANKSHAFT MECHANISMS; ROTARY BODIES OTHER THAN GEARING ELEMENTS; BEARINGS
    • F16C33/00—Parts of bearings; Special methods for making bearings or parts thereof
    • F16C33/30—Parts of ball or roller bearings
    • F16C33/58—Raceways; Race rings
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16C—SHAFTS; FLEXIBLE SHAFTS; ELEMENTS OR CRANKSHAFT MECHANISMS; ROTARY BODIES OTHER THAN GEARING ELEMENTS; BEARINGS
    • F16C41/00—Other accessories, e.g. devices integrated in the bearing not relating to the bearing function as such
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass

Definitions

  • the abnormality determination unit 340 detects the state of the object to be measured (bearing 250) based on the processed data processed by the data processing unit 330. More specifically, the abnormality determination unit 340 determines whether or not the state of the measurement object is abnormal, detects a sign of abnormality of the measurement object, and the like.
  • the notification generation unit 350 generates a notification indicating an abnormality or a sign of an abnormality when the abnormality determination unit 340 detects an abnormality or a sign of the abnormality.
  • the outer ring 251 is damaged by detecting a sign before the outer ring 251 is damaged and notifying the user. You can prevent it from entering.
  • the information processing device 300 of the present embodiment includes an input device 31, an output device 32, a drive device 33, an auxiliary storage device 34, a memory device 35, an arithmetic processing device 36, and an interface device 37, which are connected to each other by a bus B, respectively. It is a computer including, and is an example of an abnormality detection device.
  • the abnormality detection program that realizes the communication unit 310, the data acquisition unit 320, the data processing unit 330, the abnormality determination unit 340, and the notification generation unit 350 is at least a part of various programs that control the information processing device 300.
  • the abnormality detection program is provided, for example, by distributing the storage medium 38, downloading from the network, or the like.
  • the storage medium 38 on which the abnormality detection program is recorded includes various types of storage media such as a storage medium for optically, electrically or magnetically recording information, a semiconductor memory for electrically recording information such as a ROM and a flash memory, and the like.
  • a storage medium can be used.
  • the abnormality detection program is installed in the auxiliary storage device 34 from the storage medium 38 via the drive device 33.
  • the abnormality detection program downloaded from the network is installed in the auxiliary storage device 34 via the interface device 37.
  • FIG. 3 is a first flowchart illustrating the processing of the information processing apparatus of the first embodiment.
  • the process shown in FIG. 3 is mainly the process of the data processing unit 330.
  • the process of FIG. 3 is executed every time the communication unit 310 receives digital data.
  • the data processing unit 330 calculates the frequency at which the power becomes the maximum value and the maximum value from the acquired waveform data in the frequency region, and sets that frequency as the frequency of the passing vibration of the rolling element 252 (step S302).
  • the waveform of the frequency of the passing vibration of the rolling element 252 may be referred to as a basic waveform, and the waveform data showing the basic waveform may be referred to as the basic waveform data.
  • the passing vibration of the rolling element 252 refers to the vibration of the outer ring 251 generated when the rolling element 252 passes through the portion of the outer ring 251 to which the strain gauge 210 is attached.
  • the data processing unit 330 performs inverse FFT on each of the extracted frequency components, converts the waveform data in the frequency domain into waveform data in the time domain, and calculates the effective value of the amplitude of each waveform data in the time domain. (Step S304).
  • the data processing unit 330 stores the feature amount calculated in step S305 in the storage unit 360 (step S307), and ends the process.
  • the feature amount group stored in the storage unit 360 during the collection period may be referred to as normal data.
  • step S306 of FIG. 3 the abnormality determination unit 340 of the present embodiment reads normal data from the storage unit 360 and extracts normalization parameters when the collection period has elapsed (step S401).
  • the abnormality determination unit 340 normalizes the evaluation data using the normalization parameters used for normalizing the normal data (step S402).
  • the abnormality determination unit 340 has a data density in the vicinity of the evaluation data normalized in step S402 and a data density in the vicinity of the normal data normalized in step S401 on the space using the feature amount as the coordinate value.
  • the ratio of is calculated (step S403).
  • the ratio of data density is defined as the degree of abnormality.
  • the degree of abnormality is a value that is an index for determining whether or not the state of the bearing 250 is abnormal.
  • the abnormality determination unit 340 determines whether or not the condition that "the degree of abnormality exceeds a certain threshold value and the frequency exceeds a predetermined value" is satisfied (step S404).
  • the threshold value of the degree of abnormality and a predetermined value may be set in advance. Details of steps S403 and S404 will be described later.
  • step S404 If the condition is satisfied in step S404, the abnormality determination unit 340 determines that the state of the bearing 250 is an abnormal state, the notification generation unit 350 generates a notification indicating an abnormality, and the communication unit 310 transmits the notification ( Step S405), the process is terminated.
  • the notification of the present embodiment may be, for example, a message indicating that an abnormality has occurred in the bearing 250, and in that case, for example, the notification is displayed on a display or the like connected to the information processing apparatus 300. You may. Further, the notification of the present embodiment may be an alarm or the like indicating that the bearing 250 is in an abnormal state, and this alarm may be output to the sensor board 200. The sensor board 200 may receive this alarm and notify the alarm to, for example, a higher-level device of the bearing 250.
  • step S404 if the condition that "the degree of abnormality exceeds a certain threshold value and the frequency exceeds a predetermined value" is not satisfied, the abnormality determination unit 340 determines that it is normal (step S406) and performs processing. finish. In the present embodiment, even when the abnormality determination unit 340 determines that the abnormality is normal, the notification generation unit 350 may generate and output a notification indicating the normality.
  • the abnormality determination by the abnormality determination unit 340 will be further described with reference to FIGS. 5 and 6.
  • FIG. 5 is the first diagram illustrating the abnormality determination by the abnormality determination unit.
  • the case where the post-normalized evaluation data is normal data is shown.
  • the normalized data after normalization and the evaluation data after normalization are referred to as normalized data after normalization and evaluation data after normalization.
  • the anomaly determination unit 340 calculates the density of the data arranged in the vicinity of the normalized evaluation data 52 in the feature quantity space (example; number of neighborhoods 3).
  • the region R including three surrounding data is specified centering on the normalized evaluation data 52.
  • a region R including three post-normalized normal data 51a, 51b, 51c arranged near the post-normalized evaluation data 52 is specified.
  • the number of neighborhoods is not limited to 3.
  • the abnormality determination unit 340 identifies the regions R1, R2, and R3 including the normalized normal data 51a, 51b, and 51c, respectively.
  • the abnormality determination unit 340 calculates the data density in the region R and the data density of the normalized normal data in each of the regions R1, R2, and R3. Specifically, the abnormality determination unit 340 may use the number of normalized normal data in the regions R, R1, R2, and R3 as the data density.
  • the abnormality determination unit 340 calculates the ratio between the data density of the region R and the average data density of the regions R1, R2, and R3 as the degree of abnormality.
  • the digital data when the normalized evaluation data 52 is acquired is the normal data acquired when the bearing 250 is in a normal state.
  • the abnormality determination unit 340 specifies the region R and the regions R4, R5, and R6 including the normalized normal data 51d, 51e, and 51f, respectively. Then, the abnormality determination unit 340 calculates the ratio between the data density of the region R and the average data density of the regions R4, R5, and R6 as the degree of abnormality.
  • the digital data when the normalized evaluation data 52 is acquired can be said to be the abnormal data acquired when the bearing 250 is in an abnormal state.
  • the abnormality determination unit 340 of the present embodiment detects an abnormality in the bearing 250 when the normalized evaluation data 52 becomes abnormality data a plurality of times. good.
  • the bearing 250 anomalies can be detected.
  • the influence of the temperature characteristic of the strain gauge 210 can be reduced, and the abnormality of the bearing 250 can be detected only by the strain.
  • the abnormality determination unit 340 of the present embodiment detects the abnormality of the bearing 250 when the abnormality degree exceeds the threshold value, but the abnormality determination unit 340 detects a sign of abnormality according to the abnormality degree. It may be detected.
  • the abnormality determination unit 340 detects a sign of abnormality before the degree of abnormality reaches the threshold value, and generates a notification to the notification generation unit 350 indicating that there is a sign of abnormality. You may let me. This notification may be transmitted to the outside by the communication unit 310.
  • the second embodiment will be described below with reference to the drawings.
  • the second embodiment is different from the first embodiment in that the function of the information processing apparatus 300 is realized by a semiconductor integrated circuit. Therefore, in the description of the second embodiment, the reference numerals used in the description of the first embodiment are given to those having the same functional configuration as that of the first embodiment, and the description thereof will be omitted.
  • the abnormality detection device 400 of the present embodiment includes a communication circuit 410, a data acquisition circuit 420, a data processing circuit 430, an abnormality determination circuit 440, a notification output circuit 450, and a storage device 460.
  • the communication circuit 410 communicates with the sensor board 200.
  • the data acquisition circuit 420 realizes the function of the data acquisition unit 320.
  • the data processing circuit 430 realizes the function of the data processing unit 330.
  • the abnormality determination circuit 440 realizes the function of the abnormality determination unit 340.
  • the notification output circuit 450 realizes the function of the notification generation unit 350.
  • the storage device 460 corresponds to the storage unit 360.
  • the abnormality detection device 400 includes, but is not limited to, the storage device 460.
  • the abnormality detection device 400 does not have to have the storage device 460.
  • the storage device 460 is mounted outside the abnormality detection device 400 and becomes a data processing circuit 430 and an abnormality determination circuit 440. All you have to do is connect.
  • the abnormality detection device 400 by setting the function of the information processing device 300 to the abnormality detection device 400 which is an integrated circuit, for example, the abnormality detection device 400 can be mounted on the sensor board 200.
  • the information processing device 300 for detecting the abnormality of the object to be measured it is not necessary to arrange the information processing device 300 for detecting the abnormality of the object to be measured, and in particular, the bearing 250, the sensor board 200, and the abnormality detecting device 400 are provided inside the host device. It can be built in.
  • the third embodiment will be described below with reference to the drawings.
  • the third embodiment is different from the second embodiment in that the sensor substrate is included in the abnormality detection device shown in the second embodiment. Therefore, in the following description of the third embodiment, the differences from the second embodiment will be described, and the functional configuration similar to that of the second embodiment will be described with reference to the reference numerals used in the description of the second embodiment. Is given, and the description is omitted.
  • FIG. 8 is a diagram showing an abnormality detection device according to a third embodiment.
  • the abnormality detection device 400A of the present embodiment includes a strain gauge 210, an amplifier 220, an ADC 230, a data acquisition circuit 420, a data processing circuit 430, an abnormality determination circuit 440, and a notification output circuit 450. Further, the abnormality detection device 400A of the present embodiment is connected to a storage device 460 in which data is written by the data processing circuit 430 and the data is read out by the abnormality determination circuit 440.
  • the rolling element 252 in the measurement object can be rolled by simply attaching the abnormality detection device 400A to the outer ring of the measurement object. Abnormal vibration caused by motion can be detected.
  • the abnormality detection device 400A of the present embodiment does not include the bearing 250, the abnormality detection device 400A may include the bearing 250.
  • the present invention has been described above based on each embodiment, the present invention is not limited to the requirements shown in the above embodiments. With respect to these points, the gist of the present invention can be changed to the extent that the gist of the present invention is not impaired, and can be appropriately determined according to the application form thereof.

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Rolling Contact Bearings (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

L'invention concerne un dispositif de détection d'anomalie qui comprend : une unité d'acquisition de données qui acquiert un signal qui capture la vibration de passage d'un élément de roulement ; une unité de traitement de données qui, à l'aide dudit signal, calcule une valeur de caractéristique indiquant le rapport entre l'amplitude d'une fréquence indiquant la vibration de passage de l'élément de roulement et l'amplitude d'une composante de signal de la énième harmonique d'une fréquence indiquant la vibration de passage ; et une unité de détermination d'anomalie qui, sur la base de ladite valeur de caractéristique, détermine si l'état d'un objet mesuré comprenant l'élément roulant est anormal ou non.
PCT/JP2021/045659 2020-12-18 2021-12-10 Dispositif de détection d'anomalie, procédé de détection d'anomalie, programme de détection d'anomalie et système de détection d'anomalie dans un palier WO2022131170A1 (fr)

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Application Number Priority Date Filing Date Title
JP2020-210611 2020-12-18
JP2020210611A JP2022097177A (ja) 2020-12-18 2020-12-18 異常検出装置、異常検出方法、異常検出プログラム

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11173956A (ja) * 1997-12-15 1999-07-02 Omron Corp 品質判定方法および装置
JP2020056801A (ja) * 2020-01-10 2020-04-09 中国電力株式会社 計測診断装置、及び計測診断方法
US20200225117A1 (en) * 2019-01-15 2020-07-16 Computational Systems, Inc. Bearing and Fault Frequency Identification From Vibration Spectral Plots

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11173956A (ja) * 1997-12-15 1999-07-02 Omron Corp 品質判定方法および装置
US20200225117A1 (en) * 2019-01-15 2020-07-16 Computational Systems, Inc. Bearing and Fault Frequency Identification From Vibration Spectral Plots
JP2020056801A (ja) * 2020-01-10 2020-04-09 中国電力株式会社 計測診断装置、及び計測診断方法

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