SYSTEM AND METHOD FOR MONITORING, DIAGNOSTICS, AND PROGNOSTICS

• US 20130191076A1
• Filed: 01/20/2012
• Published: 07/25/2013
• Est. Priority Date: 01/20/2012
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Fisher, William Theadore, Wang, Difei, Jiang, Xiaomo, Foster, Craig Joseph, Yarnold, Michael Wesley
• Application Number:
  US13/354,431
• Publication Number:
  US 20130191076A1
• Time in Patent Office: Days
• US Class Current: 702/184
• CPC Class Codes: G05B 23/0262 Confirmation of fault detection, e.g. extra checks to confirm that a failure has indeed occurred

Abstract

A monitoring and diagnostic (M&D) center includes continuous monitoring systems (CMS) for one or more remote sites. Measurement data taken at the remote site(s) is used to generate and analyze output. An on-site validation tool performs diagnostics and prognostics with output generated over different periods of time with different algorithms to generate recommendations regarding hardware upgrades, design improvements, or modified maintenance schedule.

Claims

1. A system for monitoring and performing diagnostics and prognostics of a performance site, the system comprising:

one or more measurement devices configured to measure one or more parameters of the performance site; and

a processor configured to validate the one or more parameters, determine an output of the performance site based on the one or more parameters, perform diagnostics and prognostics based on the one or more parameters and the output, and generate a recommendation.

2. The system according to claim 1, wherein the one or more measurement devices measures the one or more parameters periodically.

3. The system according to claim 1, wherein the processor validates each of the one or more parameters based on a comparison with a previous respective one of the one or more parameters.

4. The system according to claim 1, wherein the processor validates each of the one or more parameters based on a comparison with an expected value of the one or more parameters.

5. The system according to claim 4, wherein the expected value is based on a model output or the expected value is a user input.

6. The system according to claim 4, wherein a value is substituted for each of the one or more parameters determined to be invalid.

7. The system according to claim 1, wherein the processor determines a first plurality of output values of the performance site based on a first plurality of the one or more parameters collected over a first period of time.

8. The system according to claim 7, wherein the processor identifies an anomaly in the first plurality of output values, the anomaly being an unexpected output value among the first plurality of output values.

9. The system according to claim 8, wherein the unexpected output value is identified based on a model of the system.

10. The method according to claim 8, wherein the unexpected output value identified based on a comparison with a previous output value.

11. The system according to claim 1, wherein the processor performing diagnostics and prognostics includes the processor calculating a second plurality of output values of the system based on the one or more parameters being collected over a second period of time.

12. The system according to claim 1, wherein the processor is configured to output a recommendation of a hardware upgrade at the performance site, a design change at the performance site, or increased maintenance cycles of the performance site.

13. A method for monitoring, diagnostics, and prognostics of a system, the method comprising:

measuring one or more parameters of the system periodically;

validating the one or more parameters;

calculating a first plurality of output values of the system based on the one or more parameters being collected over a first period of time;

performing troubleshooting of the system based on an analysis of the first plurality of output values to identify an unexpected output value among the first plurality of output values and a source of the unexpected output value;

diagnosing a degradation source in the system based on the troubleshooting and generating a prognosis of future performance of the system; and

generating a recommendation regarding maintenance of the system based on the diagnosing and the prognosis.

14. The method according to claim 13, wherein the validating the one or more parameters includes comparing each of the one or more parameters with a previous respective one of the one or more parameters.

15. The method according to claim 13, wherein the validating the one or more parameters includes comparing each of the one or more parameters with an expected value of the one or more parameters, the expected value being based on a model output or the expected value being a user input.

16. The method according to claim 13, wherein the validating the one or more parameters includes substituting a value for each of the one or more parameters determined to be invalid.

17. The method according to claim 13, wherein the troubleshooting includes identifying the unexpected output value based on a model of the system.

18. The method according to claim 13, wherein the troubleshooting includes identifying the unexpected output value based on a comparison with a previous output value.

19. The method according to claim 13, wherein the diagnosing and the generating the prognosis includes calculating a second plurality of output values of the system based on the one or more parameters being collected over a second period of time and generating a recommendation of a hardware upgrade of the system, design change in the system, or modified maintenance schedule of the system.

20. A computer-readable medium storing instructions that, when processed by a processor, cause the processor to execute a method for monitoring, diagnostics, and prognostics of a system, the method comprising:

measuring one or more parameters of the system periodically;

validating the one or more parameters;

calculating a first plurality of output values of the system based on the one or more parameters being collected over a first period of time;

performing troubleshooting of the system based on an analysis of the first plurality of output values to identify an unexpected output value among the first plurality of output values and a source of the unexpected output value;

diagnosing a degradation source in the system based on the troubleshooting and generating a prognosis of future performance of the system; and

generating a recommendation regarding maintenance of the system based on the diagnosing and the prognosis.