Abnormality diagnosing device and method for mechanical equipment

• US 20040030419A1
• Filed: 05/05/2003
• Published: 02/12/2004
• Est. Priority Date: 11/06/2000
• Status: Abandoned Application

• Current Assignee: NSK Limited
• Original Assignee: NSK Limited
• Inventors: Mutoh, Yasushi, Miyasaka, Takanori, Aramaki, Hirotoshi, Asaeda, Shinichiro
• Application Number:
  US10/415,931
• Publication Number:
  US 20040030419A1
• Time in Patent Office: Days
• US Class Current: 700/32
• CPC Class Codes: G01H 1/00 Measuring characteristics of vibrations in solids by using direct conduction to the detector G01H9/00, G01H11/00 take precedence
• CPC Class Codes: G01H 1/003 of rotating machines G01H1/10 takes precedence
• CPC Class Codes: G01H 3/08 Analysing frequencies present in complex vibrations, e.g. comparing harmonics present acoustic presence detection G01V1/001
• CPC Class Codes: G05B 19/4065 Monitoring tool breakage, life or condition
• CPC Class Codes: G05B 2219/37435 Vibration of machine

Abstract

An object of the invention is to provide an anomaly diagnosis apparatus of a machine installation for eliminating the need for the user to have a dedicated analytical instrument or a skill required for anomaly diagnosis of a sliding member and enabling the user to easily make an anomaly diagnosis request with a small burden and get the diagnosis result promptly.

In the invention, an anomaly diagnosis apparatus for analyzing sound or vibration data produced by a machine installation and diagnosing the presence or absence of an anomaly in a sliding member in the machine installation is made up of a diagnosis processing server (1) and a user information processing terminal (3) which are connected through a network (2). The diagnosis processing server (1) receives the sound or vibration data produced by the machine installation and information for identifying the sliding member used with the machine installation through the network (2) from the user information processing terminal 3, makes an anomaly diagnosis of the machine installation based on the received data, and transmits the diagnosis result through the network (2) to the user information processing terminal (3), thereby lightening the burden of the user and executing anomaly diagnosis processing promptly.

Claims

1. An anomaly diagnosis apparatus of a machine installation for diagnosing the presence or absence of an anomaly in a sliding member used with the machine installation using sound, vibration, or temperature produced from the machine installation, said anomaly diagnosis apparatus having:

a diagnosis processing server and a user information processing terminal connected to a network, characterized in that

said user information processing terminal transmits sound, vibration, or temperature data produced from one or more sliding members used with the machine installation and information for identifying the one or more sliding members to said diagnosis processing server, and that

said diagnosis processing server makes an anomaly diagnosis of the machine installation based on the transmitted sound, vibration, or temperature data and specification data of the one or more sliding members based on the information for identifying them, and transmits the diagnosis result to said user information processing terminal.

2. An anomaly diagnosis apparatus of a machine installation wherein an actual measurement data analysis program for analyzing actual measurement vibration data recording sound or vibration produced when a sliding member used with the machine installation operates, determination criterion data recording information used as a determination criterion of the presence or absence of an anomaly in the sliding member used with the machine installation, and a determination program for comparing the analysis result of the actual measurement data analysis program with the determination criterion data and diagnosing the presence or absence of an anomaly in the sliding member are previously uploaded to a diagnosis processing server connected to a network in an executable data format in an information processing terminal of a user using the machine installation so as to enable the programs and the data to be downloaded into the user information processing terminal, characterized in that

the user of the machine installation downloads the actual measurement data analysis program, the determination program, and the determination criterion data through the network into the user'"'"'s information processing terminal, inputs the actual measurement vibration data through an interface to the user'"'"'s information processing terminal whenever necessary, and executes the actual measurement data analysis program and the determination program in the user'"'"'s information processing terminal for diagnosing the presence or absence of an anomaly in the sliding member used with the machine installation in the user'"'"'s information processing terminal.

3. The anomaly diagnosis apparatus of the machine installation as claimed in claim 2 wherein the Internet is used as the network.

4. The anomaly diagnosis apparatus of the machine installation as claimed in claim 2 or 3 wherein an authentication program for comparing with customer information data of information required for authenticating the user using the machine installation and allowing the user to download the actual measurement data analysis program, the determination program, and the determination criterion data when authenticating the user accessing the diagnosis processing server as the authorized user is built in the diagnosis processing server.

5. The anomaly diagnosis apparatus of the machine installation as claimed in any of claims 2 to 4 wherein a protect program for limiting the number of use times or the expiration date in the downloading information processing terminal is added to the programs and the data downloaded from the diagnosis processing server into the user information processing terminal.

6. An anomaly diagnosis method of a machine installation for diagnosing the presence or absence of an anomaly in a sliding member used with the machine installation by analyzing sound or vibration produced from the machine installation, characterized by:

detecting a signal representing sound or vibration from the sliding member of the machine installation or a member relevant to the sliding member of the machine installation;

finding a frequency spectrum of the detected signal or an envelope signal thereof; and

extracting only a frequency component caused by an anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation from the found frequency spectrum and diagnosing the presence or absence of an anomaly in the sliding member used with the machine installation based on the magnitude of the extracted frequency component.

7. The anomaly diagnosis method of the machine installation as claimed in claim 6 wherein the presence or absence of an anomaly is diagnosed by comparing with a reference value determined in response to the effective value of the detected signal or the envelope signal thereof.

8. An anomaly diagnosis method of a machine installation for detecting sound or vibration produced from a sliding member of the machine installation or a member relevant to the sliding member of the machine installation, analyzing a detection signal, and diagnosing the presence or absence of an anomaly caused by the sliding member of the machine installation or the member relevant to the sliding member of the machine installation, characterized by:

converting an analog signal of sound or vibration produced from the sliding member of the machine installation or the member relevant to the sliding member of the machine installation into digital form to generate actual measurement digital data, performing appropriate analysis processing of frequency analysis, envelope analysis, and the like for the generated actual measurement digital data to generate actual measurement frequency spectrum data, calculating the level difference between each arbitrary data point and its immediately preceding data point and a gradient to find a peak value for the generated actual measurement frequency spectrum data, and comparing a peak value on the actual measurement frequency spectrum data for the frequency component caused by anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation, thereby diagnosing the presence or absence of an anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation.

9. An anomaly diagnosis method of a machine installation for detecting sound or vibration produced from a sliding member of the machine installation or a member relevant to the sliding member of the machine installation, analyzing a detection signal, and diagnosing the presence or absence of an anomaly caused by the sliding member of the machine installation or the member relevant to the sliding member of the machine installation, characterized by:

converting an analog signal of sound or vibration produced from the sliding member of the machine installation or the member relevant to the sliding member of the machine installation into digital form to generate actual measurement digital data, selecting any desired time domain for the generated actual measurement digital data, performing appropriate analysis processing of frequency analysis, envelope analysis, etc., for data in the selected time domain to generate actual measurement frequency spectrum data, calculating the level difference between each arbitrary data point and its immediately preceding data point and a gradient to find a peak value for the generated actual measurement frequency spectrum data, and comparing a peak value on the actual measurement frequency spectrum data for the frequency component caused by anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation, thereby diagnosing the presence or absence of an anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation.

10. An anomaly diagnosis method of a machine installation for detecting sound or vibration produced from a sliding member of the machine installation or a member relevant to the sliding member of the machine installation, analyzing a detection signal, and diagnosing the presence or absence of an anomaly caused by the sliding member of the machine installation or the member relevant to the sliding member of the machine installation, characterized by:

converting an analog signal of sound or vibration produced from the sliding member of the machine installation or the member relevant to the sliding member of the machine installation into digital form to generate actual measurement digital data, selecting any desired time domain for the generated actual measurement digital data, performing appropriate analysis processing of frequency analysis, envelope analysis, etc., for data in the selected time domain to generate actual measurement frequency spectrum data, selecting any desired frequency domain for the generated actual measurement spectrum data, filtering assuming that the selected frequency domain is a filter band to generate new actual measurement frequency spectrum data, calculating the level difference between each arbitrary data point and its immediately preceding data point and a gradient to find a peak value for the generated actual measurement frequency spectrum data, and comparing a peak value on the actual measurement frequency spectrum data for the frequency component caused by anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation, thereby diagnosing the presence or absence of an anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation.

11. The anomaly diagnosis method of the machine installation as claimed in any one of claims 6 to 10 wherein the frequency component caused by anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation corresponds to an abnormal part of the machine installation or a machine.

12. The anomaly diagnosis method of the machine installation as claimed in any one of claims 6 to 10 wherein the frequency component caused by anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation is a frequency component caused by an anomaly of a bearing used with the machine installation.

13. An anomaly diagnosis method of a machine installation for diagnosing the presence or absence of an anomaly in a sliding member, etc., of the machine installation by analyzing sound or vibration produced by the machine installation containing the sliding member, characterized by:

detecting a signal representing sound or vibration produced by the sliding member, etc., of the machine installation, generating actual measurement frequency spectrum data of a frequency spectrum of the detected signal or an envelope signal thereof, executing a basic frequency component comparison process of checking whether or not the frequency at an appearance point of a peak equal to or higher than a reference level on the actual measurement frequency spectrum data matches the basic frequency at which a peak appears because of an anomaly in a specific part of the sliding member, etc., and when the frequency at the appearance point of the peak equal to or higher than the reference level on the actual measurement frequency spectrum data does not match the basic frequency in the basic frequency component comparison process, diagnosing the sliding member, etc., as no anomaly;

when the frequency at the appearance point of the peak equal to or higher than the reference level on the actual measurement frequency spectrum data matches the basic frequency, executing a low-frequency component comparison process of checking the presence or absence of a frequency component having a peak equal to or higher than the reference level in a low-frequency range equal to or less than the basic frequency on the actual measurement frequency spectrum data;

when the actual measurement frequency spectrum data does not have a peak equal to or higher than the reference level in the low-frequency range equal to or less than the basic frequency in the low-frequency component comparison process, diagnosing the sliding member, etc., as an anomaly in the specific part;

when the actual measurement frequency spectrum data has a peak equal to or higher than the reference level in the low-frequency range equal to or less than the basic frequency in the low-frequency component comparison process, further executing a harmonic component comparison process of determining whether or not the harmonic of the frequency component having the peak equal to or higher than the reference level in the low-frequency range equal to or less than the basic frequency matches the basic frequency; and

when the harmonic of the frequency component having the peak equal to or higher than the reference level in the low-frequency range equal to or less than the basic frequency does not match the basic frequency in the harmonic component comparison process, diagnosing the sliding member, etc., as an anomaly in the specific part;

when the harmonic matches the basic frequency, diagnosing the sliding member, etc., as no anomaly in the specific part.

14. An anomaly diagnosis method of a machine installation for detecting sound or vibration produced from a sliding member of the machine installation, analyzing a detected vibration signal, and diagnosing the presence or absence of an anomaly caused by the sliding member, characterized by:

converting an analog signal of sound or vibration produced from the sliding member into a digital signal to generate actual measurement digital data, performing appropriate analysis processing of frequency analysis, envelope analysis, and the like for the actual measurement digital data to generate actual measurement frequency spectrum data, and diagnosing the presence or absence of an anomaly in a specific part of the sliding member of the machine installation based on the presence or absence of a peak on the actual measurement frequency spectrum data for first-order, second-order, fourth-order value of frequency component occurring when the specific part of the sliding member is abnormal.

16. The anomaly diagnosis method of the machine installation as claimed in claim 14 wherein after generating the actual measurement frequency spectrum data, an effective value of the actual measurement frequency spectrum data is calculated, a threshold value is set based on the effective value, and the peak on the actual measurement frequency spectrum data for the first-order, second-order, fourth-order value of the frequency component occurring when the specific part of the sliding member 403 is abnormal is handled as the effective peak only when the peak exceeds the threshold value.

15. An anomaly diagnosis apparatus of a machine installation for detecting sound or vibration produced from a sliding member of the machine installation, analyzing a detected vibration signal, and diagnosing the presence or absence of an anomaly caused by the sliding member of the machine installation, said anomaly diagnosis apparatus comprising:

AD conversion means for converting an analog signal of sound or vibration produced from the sliding member of the machine installation into a digital signal to generate actual measurement digital data, and computation processing means for performing appropriate analysis processing of frequency analysis, envelope analysis, and the like for the actual measurement digital data to generate actual measurement frequency spectrum data, and diagnosing the presence or absence of an anomaly in a specific part of the sliding member based on the presence or absence of a peak on the actual measurement frequency spectrum data for first-order, second-order, fourth-order value of frequency component occurring when the specific part of the sliding member is abnormal.

17. The anomaly diagnosis apparatus of the machine installation as claimed in claim 15 wherein after generating the actual measurement frequency spectrum data, the computation processing means calculates an effective value of the actual measurement frequency spectrum data, sets a threshold value based on the effective value, and handles the peak on the actual measurement frequency spectrum data for the first-order, second-order, fourth-order value of the frequency component occurring when the specific part of the sliding member is abnormal as the effective peak only when the peak exceeds the threshold value.

18. An anomaly diagnosis method of a machine installation for detecting sound or vibration produced from a sliding member of the machine installation, analyzing a detected vibration signal, and diagnosing the presence or absence of an anomaly caused by the sliding member, characterized by:

converting an analog signal of sound or vibration produced from the sliding member into a digital signal to generate actual measurement digital data, performing appropriate analysis processing of frequency analysis, envelope analysis, and the like for the actual measurement digital data to generate actual measurement frequency spectrum data, and then calculating an effective value or an average value of the actual measurement frequency spectrum data, setting the calculated effective value or average value as a reference level, and estimating the magnitude of damage to a specific part of the sliding member causing an anomaly to occur from the level difference between level on the actual measurement frequency spectrum data corresponding to the first-order value of the frequency component occurring when the specific part of the sliding member of the machine installation is abnormal and the reference level.

19. An anomaly diagnosis apparatus of a machine installation for detecting sound or vibration produced from the machine installation containing a sliding member, analyzing a detected vibration signal, and diagnosing the presence or absence of an anomaly caused by the machine installation containing the sliding member, said anomaly diagnosis apparatus comprising:

vibration detection means for detecting sound or vibration produced by the machine installation containing the sliding member and outputting an electric signal responsive to the detected sound or vibration;

sampling reference setting means for setting a reference value to exclude an area where the effect of noise is large from the output signal of said vibration detection means;

sampling means for extracting effective actual measurement data with an area where the effect of noise is large excluded from the output signal of said vibration detection means based on the reference value set in said sampling reference setting means; and

computation processing means for performing appropriate analysis processing of envelope analysis, etc., for the effective actual measurement data extracted by said sampling means to generate actual measurement frequency spectrum data and diagnosing the presence or absence of an anomaly in a specific part of the machine installation containing the sliding member based on the presence or absence of a peak on the actual measurement frequency spectrum data for frequency component occurring when the specific part of the machine installation containing the sliding member is abnormal.