Method and system for detecting incipient bearing failures

• US 9,157,832 B2
• Filed: 05/28/2010
• Issued: 10/13/2015
• Est. Priority Date: 03/12/2010
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Uluyol, Onder, Hickenbottom, Chris, Kim, Kyusung
• Primary Examiner(s): Suglo, Janet
• Assistant Examiner(s): ANDERSON, LYNNE D
• Application Number:
  US12/790,340
• Publication Number:
  US 20110224917A1
• Time in Patent Office: 1,964 Days
• Field of Search: 702/34, 702/35, 702/56, 702/183, 702/185, 702/189, 384/448, 735/93
• US Class Current: 1/1
• 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 3/00 Measuring characteristics of vibrations by using a detector in a fluid G01H7/00, G01H9/00, G01H11/00 take precedence
• CPC Class Codes: G01M 13/04 Bearings
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis
• CPC Class Codes: G05B 23/00 Testing or monitoring of control systems or parts thereof monitoring of programme-control systems G05B19/048, G05B19/406
• CPC Class Codes: G05B 23/0205 by means of a monitoring system capable of detecting and responding to faults
• CPC Class Codes: G07C 3/00 Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
• CPC Class Codes: G07C 3/14 Quality control systems

Abstract

Methods and systems for estimating wear damage of a rolling-element bearing system including at least one rolling-element bearing are provided. A first number of first condition indicators representative of the wear damage of the at least one rolling-element bearing are generated. A second number of second condition indicators are generated based on the first plurality of first condition indicators. The second number is less than the first number an indication of the wear damage of the at least one rolling-element bearing is generated based on the second number of second condition indicators.

Claims

1. A method for estimating wear damage of a rolling-element bearing system comprising at least one rolling-element bearing, the method comprising:

generating, by a processor communicatively coupled to a fluid debris monitoring sensor and a vibration sensor, a first number of first condition indicators representative of the wear damage of the at least one rolling-element bearing, the first number of first condition indicators comprises a first set of fluid debris indicators and a first set of vibration indicators, wherein the first set of fluid debris indicators are generated based on monitoring a flow of fluid in fluid communication with the at least one rolling-element bearing by the fluid debris monitoring sensor and the first set of vibration indicators are generated based on monitoring vibrations associated with the at least one rolling-element bearing by the vibration sensor;

generating, by the processor, a second number of second condition indicators based on the first number of first condition indicators, wherein the second number is less than the first number and at least one of the second condition indicators is based upon a sum of a function of a mass of oil debris, a function of an oil debris count and a function of an oil debris mass rate, and at least one of the second condition indicators is based upon a grouping of normalized vibration data from the vibration indicators based upon which of the at least one rolling-element bearing the vibration data is relevant thereto;

generating, by the processor, an indication of the wear damage of the at least one rolling-element bearing by fusing the second number of second condition indicators into a single indicator; and

generating, by a signal generation device communicatively coupled to the processor, an alert based upon the indication of the wear damage generated by the processor,

wherein the generating of the indication of the wear damage of the at least one rolling-element bearing is based on a fuzzy logic analysis of the second number of second condition indicators.

2. The method of claim 1, wherein the first set of fluid debris indicators comprises a count of fluid debris particles over a predetermined size, a rate of increase of a mass of the fluid debris particles, a total mass of the fluid debris particles, or a combination thereof.

3. The method of claim 2, wherein the first set of vibration indicators are based on a vibration spectrum of the at least one rolling-element bearing, a synchronous time average of at least one gear, or a combination thereof.

4. The method of claim 3, wherein the second number of second condition indicators comprises a second set of fluid debris indicators and a second set of vibration indicators.

5. The method of claim 4, wherein the generating of the second set of fluid debris indicators comprises performing a summation of the first set of fluid debris indicators.

6. The method of claim 5, wherein the generating of each of the second set of vibration indicators comprises performing a summation of a selected plurality of the first set of vibration indicators.

7. The method of claim 6, wherein the at least one rolling-element bearing comprises a plurality of groups of rolling-element bearings.

8. The method of claim 7, wherein each of the selected plurality of the first set of vibration indicators is associated with one of the plurality of groups of rolling-element bearings or all of the plurality of groups of rolling-element bearings.

9. A method for estimating wear damage of a rolling-element bearing system comprising a plurality of rolling-element bearings, the method comprising:

monitoring, by a fluid debris monitoring sensor, debris particles within a flow of lubricating fluid in fluid communication with the plurality of rolling-element bearings;

monitoring, by a vibration sensor, at least one vibration associated with the plurality of rolling-element bearings;

generating, by a processor communicatively connected to the fluid debris monitoring sensor and the vibration sensor, a first number of first condition indicators representative of the wear damage of the plurality of rolling-element bearings based on the monitoring of the debris particles and the monitoring of the at least one vibration, the first number of first condition indicators comprises a first set of fluid debris indicators and a first set of vibration indicators, wherein the first set of fluid debris indicators are generated based on monitoring a flow of fluid in fluid communication with the at least one rolling-element bearing and the first set of vibration indicators are generated based on monitoring vibrations associated with the at least one rolling-element bearing;

generating, by the processor, a second number of second condition indicators based on the first number of first condition indicators, wherein the second number is less than the first number, and at least one of the second condition indicators is based upon a sum of a function of a mass of oil debris, a function of an oil debris count and a function of an oil debris mass rate, and at least one of the second condition indicators is based upon a grouping of normalized vibration data from the vibration indicators based upon which of the at least one rolling-element bearing the vibration data is relevant thereto;

generating, by the processor, an indication of the wear damage of the plurality of rolling-element bearings by fusing the second number of second condition indicators into a single indicator; and

generating, by a signal generation device communicatively coupled to the processor, an alert based upon the indication of the wear damage generated by the processor.

10. The method of claim 9, wherein the monitoring of the debris particles comprises counting fluid debris particles over a predetermined size, determining a rate of increase of mass of the fluid debris particles, calculating a total mass of the fluid debris particles, or a combination thereof.

11. The method of claim 10, wherein the monitoring of the at least one vibration associated with the plurality of rolling-element bearings comprises monitoring a plurality of characteristics of the at least one vibration, wherein each of the plurality of characteristics of the at least one vibration is based on a vibration spectrum of the plurality of rolling-element bearings, a synchronous time average of a plurality of gears, or a combination thereof.

12. The method of claim 11, wherein the generating of the indication of the wear damage of the plurality of rolling-element bearings is based on a fuzzy logic analysis of the second number of second condition indicators.

13. The method of claim 12, wherein the generating of the second number of second condition indicators based on the first number of first condition indicators comprises performing a summation of the count of fluid debris particles over the predetermined size, the rate of increase of mass of the fluid debris particles, and the total mass of the fluid debris particles.

14. A system for estimating wear damage of a rolling-element bearing system comprising at least one rolling-element bearing, the system comprising:

a fluid debris monitoring sensor configured to monitor debris particles within a flow of lubricating fluid in fluid communication with the at least one of rolling-element bearing;

a vibration sensor configured to monitor at least one vibration associated with the plurality of rolling-element bearing;

a processing system in operable communication with the fluid debris monitoring sensor and the vibration sensor, the processing system being configured to;

generate a first number of first condition indicators representative of the wear damage of the at least one rolling-element bearing, the first number of first condition indicators comprises a first set of fluid debris indicators and a first set of vibration indicators, wherein the first set of fluid debris indicators are generated based on monitoring a flow of fluid in fluid communication with the at least one rolling-element bearing by the fluid debris monitoring sensor and the first set of vibration indicators are generated based on monitoring vibrations associated with the at least one rolling-element bearing by the vibration sensor;

generate a second number of second condition indicators based on the first number of first condition indicators, wherein the second number is less than the first number, at least one of the second condition indicators is based upon a sum of a function of a mass of oil debris, a function of an oil debris count and a function of an oil debris mass rate, and at least one of the second condition indicators is based upon a grouping of normalized vibration data from the vibration indicators based upon which of the at least one rolling-element bearing the vibration data is relevant thereto; and

generate an indication of the wear damage of the plurality of rolling-element bearings by fusing the second number of second condition indicators into a single indicator, and

a signal generation device communicatively coupled to the processor, the signal generation device generating an alert based upon the indication of the wear damage generated by the processor.

15. The system of claim 14, wherein the processing system is further configured such that the first set of fluid debris indicators comprises a count of fluid debris particles over a predetermined size, a rate of increase of a mass of the fluid debris particles, a total mass of the fluid debris particles, or a combination thereof.

16. The system of claim 15, wherein the processing system is further configured such that the first set of vibration indicators are based on a vibration spectrum of the at least one rolling-element bearing, a synchronous time average of a plurality of gears, or a combination thereof.

17. The system of claim 14, wherein the processing system if further configured such that the generating of the indication of the wear damage of the at least one rolling-element bearing is based on a fuzzy logic analysis of the second number of second condition indicators.