SYSTEMS, METHODS, AND APPARATUS FOR DETECTING IRREGULAR SENSOR SIGNAL NOISE

• US 20130197849A1
• Filed: 10/11/2010
• Published: 08/01/2013
• Est. Priority Date: 10/11/2010
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Moiseev, Alexander Alexandrovich, Mitchell, Paul Jeffrey, Vershinin, Mikhail Petrovich, Zyryanova, Elena Eduardovna
• Application Number:
  US13/878,398
• Publication Number:
  US 20130197849A1
• Time in Patent Office: Days
• US Class Current: 702/116
• CPC Class Codes: G05B 23/0227 Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
• CPC Class Codes: G05B 9/03 with multiple-channel loop, i.e. redundant control systems
• CPC Class Codes: G06F 11/008 Reliability or availability analysis

Abstract

Certain embodiments of the invention may include systems, methods, and apparatus for detecting irregular sensor signal noise. According to an example embodiment of the invention, a method is provided for determining reliability of a sensor. The method may include receiving signal samples associated with a sensor; receiving an expected standard deviation value (508) associated with the sensor; estimating noise standard deviation of the signal samples (504) based at least upon a difference between the received sensor samples and predicted sensor signal values; and outputting a noise confidence value based at least in part on a first ratio between the estimated noise standard deviation and the expected standard deviation value.

Claims

1. A method for determining reliability of a sensor, comprising:

receiving signal samples associated with a sensor;

receiving an expected standard deviation value associated with the sensor;

estimating noise standard deviation of the signal samples based at least upon a difference between the received sensor samples and predicted sensor signal values; and

outputting a noise confidence value based at least in part on a first ratio between the estimated noise standard deviation and the expected standard deviation value.

2. The method of claim 1, further comprising outputting a stuck confidence value based at least in part on a second ratio between the estimated noise standard deviation and the expected standard deviation value.

3. The method of claim 2, wherein the second ratio is less than about 0.05.

4. The method of claim 1, wherein the wherein the first ratio is greater than about 10.

5. The method of claim 1, wherein outputting the noise confidence value comprises delaying and filtering the noise confidence value.

6. The method of claim 1, wherein the expected standard deviation value of the signal samples is determined at least in part by training, wherein training comprises receiving sensor samples during steady state operation.

7. The method of claim 1, wherein the noise confidence value comprises an analog signal ranging from about 0 to about 1.

8. The method of claim 2, wherein the stuck confidence value comprises an analog signal ranging from about 0 to about 1.

9. A system for determining reliability of a sensor, comprising:

at least one sensor;

at least one memory for storing data and computer-executable instructions;

at least one processor configured to access the at least one memory and further configured to execute the computer-executable instructions for;

receiving signal samples associated with the at least one sensor;

receiving an expected standard deviation value associated with the at least one sensor;

estimating noise standard deviation of the signal samples based at least upon a difference between the received sensor samples and predicted sensor signal values; and

outputting a noise confidence value based at least in part on a first ratio between the estimated noise standard deviation and the expected standard deviation value.

10. The system of claim 9, wherein the at least one processor is further configured for outputting a stuck confidence value based at least in part on a second ratio between the estimated noise standard deviation and the expected standard deviation value.

11. The system of claim 10, wherein the second ratio is less than about 0.05.

12. The system of claim 9, wherein the wherein the first ratio is greater than about 10.

13. The system of claim 9, wherein the expected standard deviation value of the signal samples is determined at least in part by training, wherein training comprises receiving sensor samples during steady state operation.

14. The system of claim 9, wherein the noise confidence value comprises an analog signal ranging from about 0 to about 1, and wherein the stuck confidence value comprises an analog signal ranging from about 0 to about 1.

15. An apparatus for determining reliability of a sensor, comprising:

at least one memory for storing data and computer-executable instructions;

at least one processor configured to access the at least one memory and further configured to execute the computer-executable instructions for;

receiving signal samples associated with at least one sensor;

receiving an expected standard deviation value associated with the at least one sensor;

estimating noise standard deviation of the signal samples based at least upon a difference between the received sensor samples and predicted sensor signal values; and

outputting a noise confidence value based at least in part on a first ratio between the estimated noise standard deviation and the expected standard deviation value.

16. The apparatus of claim 15, wherein the at least one processor is further configured for outputting a stuck confidence value based at least in part on a second ratio between the estimation of noise standard deviation and the expected standard deviation value.

17. The apparatus of claim 16, wherein the second ratio is less than about 0.05.

18. The apparatus of claim 15, wherein the wherein the first ratio is greater than about 10.

19. The apparatus of claim 15, wherein the expected standard deviation value of the signal samples is determined at least in part by training, wherein training comprises receiving sensor samples during steady state operation.

20. The apparatus of claim 15, wherein the noise confidence value comprises an analog signal ranging from about 0 to about 1, and wherein the stuck confidence value comprises an analog signal ranging from about 0 to about 1.