METHOD AND SYSTEM FOR MONITORING MOTOR BEARING CONDITION

• US 20180115226A1
• Filed: 10/25/2016
• Published: 04/26/2018
• Est. Priority Date: 10/25/2016
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Zhang, Hua, Trayhan, JR., David Terry, Hu, Iris Ziqin
• Application Number:
  US15/333,331
• Publication Number:
  US 20180115226A1
• Time in Patent Office: Days
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis
• CPC Class Codes: G01N 2291/012 Phase angle
• CPC Class Codes: G01N 2291/023 Solids
• CPC Class Codes: G01N 2291/106 one or more transducer arrays
• CPC Class Codes: G01N 2291/2696 Wheels, Gears, Bearings
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/4418 with a model, e.g. best-fit, regression analysis
• CPC Class Codes: G01N 29/4463 Signal correction, e.g. distance amplitude correction [DAC], distance gain size [DGS], noise filtering
• CPC Class Codes: G01N 29/4472 Mathematical theories or simulation
• CPC Class Codes: G01N 29/46 by spectral analysis, e.g. Fourier analysis or wavelet analysis spectral signal processing per se G06F17/14
• CPC Class Codes: H02K 15/0006 Disassembling, repairing or modifying dynamo-electric machines repairing of cooling fluid boxes H02K15/0093
• CPC Class Codes: H02K 7/08 Structural association with bearings
• CPC Class Codes: H02K 7/085 radially supporting the rotary shaft at only one end of the rotor H02K7/086, H02K7/09 take precedence
• CPC Class Codes: H02K 9/02 by ambient air flowing through the machine
• CPC Class Codes: H02K 9/06 with fans or impellers driven by the machine shaft

Abstract

A system includes an industrial machine that includes a motor and a motor bearing. The system also includes multiple acoustic sensors disposed adjacent the industrial machine. The system further includes multiple other sensors disposed adjacent the industrial machine. The system even further includes a controller programmed to receive noise signals representative of a noise made by the motor bearing acquired by the multiple acoustic sensors, to receive signals representative of operational conditions of the industrial machine, to analyze the noise signals to determine characteristics of the noise, to analyze the characteristics of the noise utilizing the operational conditions, to compare the characteristics of the noise to a plurality of models associated with different noises made by the motor bearing that are associated with a particular abnormal operation, and to select a model from the plurality of models that matches the characteristics of the noise.

Claims

1. A system, comprising:

an industrial machine comprising a motor and a motor bearing;

a plurality of acoustic sensors disposed adjacent the industrial machine;

a plurality of other sensors disposed adjacent the industrial machine; and

a controller programmed to receive noise signals representative of a noise made by the motor bearing acquired by the plurality of acoustic sensors, to receive signals representative of operational conditions of the industrial machine, to analyze the noise signals to determine characteristics of the noise, to analyze the characteristics of the noise utilizing the operational conditions, to compare the characteristics of the noise to a plurality of models associated with different noises made by the motor bearing that are associated with a particular abnormal operation, and to select a model from the plurality of models that matches the characteristics of the noise.

2. The system of claim 1, wherein the controller is programmed to provide a recommendation for maintenance of the motor bearing based on the selected model.

3. The system of claim 1, wherein the controller is programmed to remove background noise from the noise utilizing spectral analysis based on phase data of a signature frequency or frequencies of the motor bearing rotating derived from the noise signals.

4. The system of claim 3, wherein the plurality of acoustic sensors are arranged in a pattern that enables the controller to utilize the noise signals to remove the background noise from the noise.

5. The system of claim 1, wherein the controller is programmed to receive noise signals representative of the noise made by the motor bearing acquired by at least two acoustic sensors of the plurality of acoustic sensors and to analyze the noise signals to determine a location of the noise.

6. The system of claim 5, wherein the controller is programmed to receive noise signals representative of the noise made by the motor bearing acquired by at least three acoustic sensors of the plurality of acoustic sensors and to analyze the noise signals to determine a spectrum of the noise.

7. The system of claim 5, wherein each model of the plurality of models is associated with a noise spectrum associated with a particular problem with the motor bearing, and the controller is programmed to compare the spectrum of the noise to noise spectrums of each model of the plurality of models to select the model.

8. The system of claim 1, wherein the characteristics of the noise comprise spectral characteristics of the noise.

9. The system of claim 1, wherein the industrial machine comprises a motor cooling fan, and the controller is programmed to remove components associated with spinning of the motor cooling fan from the noise.

10. A system, comprising:

a plurality of industrial machines, wherein each industrial machine of the plurality of industrial machines comprises a motor and a motor bearing;

a plurality of acoustic sensors disposed adjacent each industrial machine of the plurality of industrial machines;

a controller programmed to receive noise signals representative of a noise made by a respective motor bearing of a respective industrial machine acquired by the plurality of acoustic sensors adjacent the respective motor bearing, to analyze the noise signals to determine spectral characteristics of the noise, and to determine if the respective motor bearing needs maintenance based on the spectral characteristics of the noise.

11. The system of claim 10, wherein the controller is programmed to compare the spectral characteristics of the noise to a plurality of models associated with different noises, wherein each model includes a unique noise spectrum made by the respective motor bearing associated with a particular abnormal operation.

12. The system of claim 11, wherein the controller is programmed to select a model from the plurality of models that matches the spectral characteristics of the noise.

13. The system of claim 12, wherein the controller is programmed to provide a recommendation for maintenance of the motor bearing based on the selected model.

14. The system of claim 11, wherein the controller is communicatively coupled to an industrial cloud-based service platform that comprises a database having the plurality of models.

15. The system of claim 11, wherein the controller is programmed to remove background noise from the noise utilizing spectral analysis based on phase data of a signature frequency or frequencies of the motor bearing rotating derived from the noise signals.

16. The system of claim 11, wherein the respective industrial machine comprises a motor cooling fan, and the controller is programmed to remove components associated with spinning of the motor cooling fan from the noise.

17. A controller, comprising:

a processor; and

a memory encoding one or more processor-executable routines, wherein the one or more routines, when executed by the processor, cause the controller to;

receive, from a plurality of acoustic sensors adjacent a motor bearing of an industrial machine, noise signals representative of a noise made by the motor bearing;

analyze the noise signals to determine spectral characteristics of the noise;

determine when the motor bearing needs maintenance based on the spectral characteristics of the noise; and

provide a recommendation for maintenance of the motor bearing.

18. The controller of claim 17, wherein the one or more routines, when executed by the processor, cause the controller to compare the spectral characteristics of the noise to a plurality of models associated with different noises, wherein each model includes a unique noise spectrum made by the motor bearing associated with a particular abnormal operation.

19. The controller of claim 18, wherein the one or more routines, when executed by the processor, cause the controller to select a model from the plurality of models that matches the spectral characteristics of the noise.

20. The controller of claim 18, wherein the one or more routines, when executed by the processor, cause the controller to provide the recommendation for maintenance of the motor bearing based on the selected model.