Fault detection for bearings

• US 9,689,777 B2
• Filed: 05/04/2015
• Issued: 06/27/2017
• Est. Priority Date: 05/04/2015
• Status: Active Grant

• Current Assignee: Deere & Company
• Original Assignee: Deere & Company
• Inventors: Pence, Jacob, Vilar, Zimin W., Tremel, Chris J.
• Primary Examiner(s): Nguyen, Vincent Q
• Application Number:
  US14/703,501
• Publication Number:
  US 20160327452A1
• Time in Patent Office: 785 Days
• Field of Search: 324139, 324160, 324177, 73579, 73660, 318490
• CPC Class Codes: G01M 13/04 Bearings
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis

Abstract

A fault detection system is disclosed for predicting bearing failure in a system with a bearing-supported shaft. A position sensor may sense a position of the shaft as the shaft rotates. A controller may receive, from the position sensor, position data indicating a plurality of sensed positions of the shaft. The controller may determine a position or velocity profile for the shaft based upon the received position data and may determine a frequency profile based upon the position or velocity profile. The controller may identify a characteristic of the frequency profile, and identify an expected bearing failure based upon the identified characteristic.

Claims

1. A fault detection system for predicting bearing failure, in a system having an electric machine with a bearing-supported shaft, the fault detection system comprising:

a position sensor configured to sense positions of the shaft as the shaft rotates; and

a controller configured to;

receive position data from the position sensor, the position data indicating a plurality of sensed positions of the shaft;

determine at least one of a position profile and a velocity profile over time for the shaft, based upon the received position data;

determine a frequency profile for the at least one of the position profile and the velocity profile;

identify a frequency peak in the frequency profile including identifying a frequency band in the frequency profile; and

identify an expected bearing failure based upon;

at least one of comparing the frequency peak with one or more solutions to a characteristic failure frequency equation for a bearing supporting the shaft, and comparing the frequency peak with one or more predetermined failure mode frequencies;

determining that the frequency peak exhibits an amplitude exceeding a predetermined failure mode amplitude; and

determining that the frequency peak is within the frequency band.

2. The fault detection system of claim 1, wherein the position sensor is configured as a resolver.

3. A fault detection system for predicting bearing failure, in a system having a bearing-supported shaft, the fault detection system comprising:

a position sensor configured to sense positions of the shaft as the shaft rotates; and

a controller configured to;

receive position data from the position sensor, the position data indicating a plurality of sensed positions of the shaft;

determine at least one of a position profile and a velocity profile over time for the shaft, based upon the received position data;

determine a frequency profile for at least one of the position profile and the velocity profile;

identify a frequency peak in the frequency profile and one or more characteristics of the frequency profile across a frequency band; and

identify an expected bearing failure based upon the identified frequency peak and the one or more characteristics of the frequency profile across the frequency band.

4. The fault detection system of claim 3, wherein the shaft is included in an electric motor configured to power an operation of a work vehicle, with a rotor of the electric motor mounted to the shaft.

5. The fault detection system of claim 3, wherein the controller is further configured to communicate an indicator of the expected bearing failure to at least one of an output module and a notification module.

6. The fault detection system of claim 3, wherein the position sensor is configured as one of a resolver and an encoder.

7. The fault detection system of claim 3, wherein the controller is configured to identify the expected bearing failure based upon at least one of comparing the frequency peak with one or more solutions to a characteristic failure frequency equation for a bearing supporting the shaft, and comparing the frequency peak with one or more predetermined failure mode frequencies.

8. The fault detection system of claim 3, wherein the controller is configured to identify the expected bearing failure based upon determining that the identified frequency peak exhibits an amplitude exceeding a predetermined failure mode amplitude.

9. A fault detection system for predicting bearing failure, in a system having a bearing-supported shaft, the fault detection system comprising:

a position sensor configured to sense positions of the shaft as the shaft rotates; and

a controller configured to;

receive position data from the position sensor, the position data indicating a plurality of sensed positions of the shaft;

determine a frequency profile based upon the received position data;

identify a first characteristic of the frequency profile across a frequency band of the frequency profile; and

identify an expected bearing failure based upon the identified first characteristic within the frequency band.

10. The fault detection system of claim 9, wherein the controller is further configured to communicate an indication of the expected bearing failure to at least one of an output module and a notification module.

11. The fault detection system of claim 9, wherein the position sensor is configured as one of a resolver and an encoder.

12. The fault detection system of claim 9, wherein the controller is configured to determine the frequency profile based upon determining a velocity profile for the shaft based upon the position data.

13. The fault detection system of claim 9, wherein the controller is configured to identify the expected bearing failure based upon comparing the first characteristic of the frequency profile with one or more solutions to a characteristic failure frequency equation for a bearing supporting the shaft.

14. The fault detection system of claim 9, wherein the controller is configured to identify the expected bearing failure based upon comparing the first characteristic of the frequency profile with one or more predetermined frequencies.

15. The fault detection system of claim 9, wherein the controller is configured to identify the expected bearing failure based upon the controller identifying a frequency peak as the first characteristic.

16. The fault detection system of claim 15, wherein the controller is configured to identify the expected bearing failure based upon determining that the frequency peak exhibits an amplitude exceeding a predetermined amplitude.