Fuzzy logic based system monitoring system and method

• US 8,751,413 B2
• Filed: 07/26/2011
• Issued: 06/10/2014
• Est. Priority Date: 07/26/2011
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Nagathil, Roopesh Bhaskaran, Berkeley, Dalero Winston, Linkenauger, David Lynn, Nichols, Jason Fredrick
• Primary Examiner(s): VINCENT, DAVID ROBERT
• Application Number:
  US13/190,747
• Publication Number:
  US 20130031043A1
• Time in Patent Office: 1,050 Days
• Field of Search: 706 1- 3, 706/11, 706/12, 706/14, 706/15, 706/62
• US Class Current: 706/1
• CPC Class Codes: G05B 23/024 Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
• CPC Class Codes: G05B 23/0278 Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
• CPC Class Codes: G06N 7/023 Learning or tuning the parameters of a fuzzy system

Abstract

A bearing monitoring system includes at least one sensor, and a fuzzy logic enabled device operatively connected to the at least one sensor. The fuzzy logic enabled device includes a fuzzy logic rule set that is configured and disposed to determine a component condition based on an input from the at least one sensor.

Claims

1. A monitoring system comprising:

at least one sensor; and

a fuzzy logic enabled device operatively connected to the at least one sensor, the fuzzy logic enabled device including a fuzzy logic rule set, presented in the following table,

2. The monitoring system according to claim 1, wherein the at least one sensor includes one of a temperature sensor, a vibration sensor, and an overload sensor.

3. The monitoring system according to claim 1, wherein the at least one sensor includes two of a temperature sensor, a vibration sensor, and an overload sensor.

4. The monitoring system according to claim 1, wherein the at least one sensor includes each of a temperature sensor, a vibration sensor, and an overload sensor.

5. The monitoring system according to claim 1, wherein the sensor member includes a communication link coupled directly to the fuzzy logic enabled device.

6. The monitoring system according to claim 1, further comprising:

a sensor system operatively coupled to the at least one sensor, the sensor system including a wireless transmitter operatively connected to the at least one sensor.

7. The monitoring system according to claim 6, wherein the fuzzy logic enabled device includes a wireless receiver configured and disposed to receive signals from the at least one sensor through the wireless transmitter.

8. The monitoring system according to claim 7, wherein the fuzzy logic enabled device comprises a web enabled device.

9. The monitoring system according to claim 8, wherein the web enabled device comprises a smart phone.

10. The monitoring system according to claim 1, wherein the at least one sensor is mounted relative to a bearing.

11. The monitoring system according to claim 10, wherein the fuzzy logic enabled device is configured and disposed to employ the fuzzy logic rule set to determine a possibility of potential bearing failure.

12. The monitoring system according to claim 11, wherein the possibility of the potential bearing failure includes one of a low possibility of an potential bearing failure, a medium possibility of an potential bearing failure, and a high possibility of an potential bearing failure.

13. The monitoring system according to claim 10, wherein the at least one sensor includes a first sensor mounted to a first component and a second sensor mounted to a second component.

14. The monitoring system according to claim 13, wherein the fuzzy logic enabled device is configured and disposed to employ the fuzzy logic rule set to rank a condition of the first component relative to a condition of the second component.

15. The monitoring system according to claim 1, wherein the fuzzy logic enabled device includes a visual output device configured and disposed to display a visual output representing the possibility of the potential bearing failure on the visual output device.

16. A method of monitoring component condition using a set of fuzzy logic rules, the method comprising:

sensing at least one parameter of a component;

passing the at least one parameter of the component to a fuzzy logic enabled device;

applying the set of fuzzy logic rules, set forth in following table,

17. The method of claim 16, wherein sensing the at least one parameter of the component includes sensing one of a temperature parameter, a vibration parameter, and an overload parameter.

18. The method of claim 16, wherein sensing the at least one parameter of the component includes sensing at least two of a temperature parameter, a vibration parameter, and an overload parameter.

19. The method of claim 16, wherein sensing the at least one parameter of the component includes sensing each of a temperature parameter, a vibration parameter, and an overload parameter.

20. The method of claim 16, wherein determining a condition of the component includes determining a possibility of a potential component failure.

21. The method of claim 20, wherein determining a possibility of a potential component failure includes determining one of a low possibility of an potential component failure, a medium possibility of an potential component failure, and a high possibility of an potential component failure.

22. The method of claim 16, wherein passing the at least one parameter of the bearing includes wirelessly transmitting the at least one parameter of the bearing to the fuzzy logic enabled device.

23. The method of claim 16, wherein sensing the parameter of the component comprises sensing a parameter of a bearing.

24. The method of claim 23, wherein determining the component condition comprises determining a possibility of a potential failure of the bearing.

25. The method of claim 16, wherein sensing the parameter of the component comprises sensing a parameter of a first component and a parameter of a second component.

26. The method of claim 25, wherein determining the component condition comprises ranking a condition of the first component relative to a condition of the second component.

27. A motor system comprising:

a rotating shaft including a first end portion that extends to a second end portion through an intermediate portion;

a first bearing arranged at the first end portion of the shaft, and a second bearing arranged at the second end portion of the shaft; and

a bearing monitoring system operatively coupled to one of the first and second bearings, the bearing monitoring system including;

at least one sensor; and

a fuzzy logic enabled device operatively connected to the at least one sensor, the fuzzy logic enabled device including a fuzzy logic rule set, presented in Table 1,

28. The motor system according to claim 27, wherein the at least one sensor includes each of a temperature sensor, a vibration sensor, and an overload sensor.

29. The motor system according to claim 27, wherein the fuzzy logic enabled device comprises a smart phone.

30. The motor system according to claim 27, wherein the fuzzy logic enabled device is configured and disposed to determine a possibility of failure of one of the first and second bearings.

31. The motor system according to claim 27, wherein the fuzzy logic enabled device is configured and disposed to rank a relative condition of the first bearing and the second bearing using the fuzzy logic rule set presented in Table 1