METHOD AND SYSTEM FOR ENHANCED FAULT DETECTION WORKFLOW

• US 20080221834A1
• Filed: 03/09/2007
• Published: 09/11/2008
• Est. Priority Date: 03/09/2007
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Damodharan, Gopinath
• Application Number:
  US11/684,222
• Publication Number:
  US 20080221834A1
• Time in Patent Office: Days
• US Class Current: 702/183
• CPC Class Codes: G06F 11/2257 using expert systems

Abstract

A method for fault detection workflow management is presented. The method includes determining a working environment, a rule application attribute, or both, where the working environment and the rule application attribute are associated with input data. Furthermore, the method includes dynamically optimizing a sequence of operations based on the determined working environment, the determined rule application attribute, or both. Additionally, the method includes processing the input data based on the optimized sequence of operations. Systems and computer-readable medium that afford functionality of the type defined by this method is also contemplated in conjunction with the present technique.

Claims

14. A computer readable medium comprising one or more tangible media, wherein the one or more tangible media comprise:

code adapted to determine a working environment, a rule application attribute, or both, wherein the working environment and the rule application attribute are associated with input data;

code adapted to dynamically optimize a sequence of operations based on the determined working environment, the determined rule application attribute, or both; and

code adapted to process the input data based on the optimized sequence of operations.

15. The computer readable medium, as recited in claim 14, wherein code adapted to dynamically optimize a sequence of operations comprises code adapted to obtain a predefined workflow from a second storage, wherein the predefined workflow is associated with the determined working environment, the determined rule application attribute, or both;

and

16. The computer readable medium, as recited in claim 14, wherein code adapted to process the input data comprises:

code adapted to pre-process the input data based on one or more predefined rules;

code adapted to interpret the pre-processed data based on the predefined rules; and

code adapted to post-process the interpreted data to generate post-processed data.

17. The computer readable medium, as recited in claim 16, wherein code adapted to pre-process the input data comprises:

code adapted to obtain the input data from a first storage;

code adapted to format the input data;

code adapted to extract data based upon the predefined rules; and

code adapted to compute data based upon the predefined rules.

18. The computer readable medium, as recited in claim 16, wherein code adapted to interpret the pre-processed data comprises code adapted to process the pre-processed data by an inference engine based on the predefined rules.

19. The computer readable medium, as recited in claim 16, wherein code adapted to post-process the interpreted data comprises:

code adapted to obtain information associated with system status; and

code adapted to generate a message indicative of the system status.

20. The computer readable medium, as recited in claim 19, further comprising code adapted to communicate the generated message to a field service station, a field service technician, or a combination thereof.

21. A detection system, comprising:

a workflow module comprising a workflow manager and configured to;

determine a working environment, a rule application attribute, or both, wherein the working environment and the rule application attribute are associated with input data;

dynamically optimizing a sequence of operations based on the determined working environment, the determined rule application attribute, or both;

a processing module configured to process the input data based on the optimized sequence of operations, wherein the processing module comprises;

a pre-processor module configured to pre-process the input data based on one or more predefined rules;

an interpreter module configured to interpret the pre-processed data based on the predefined rules; and

a post-processing module configured to post-process the interpreted data.

1. A method for fault detection workflow management, the method comprising:

determining a working environment, a rule application attribute, or both, wherein the working environment and the rule application attribute are associated with input data;

dynamically optimizing a sequence of operations based on the determined working environment, the determined rule application attribute, or both; and

processing the input data based on the optimized sequence of operations.

2. The method of claim 1, wherein the working environment comprises a knowledge creation environment, a knowledge validation environment, a production environment, or a combination thereof.

3. The method of claim 1, wherein the rule application attribute comprises a data-based attribute, a frequency-based attribute, an input data variations-based attribute, or a combination thereof.

4. The method of claim 1, wherein the input data comprises machine-readable data obtained from a data source, and wherein the data source comprises a data stream or archived data.

5. The method of claim 4, wherein the data source comprises an imaging system, and wherein the imaging system comprises one of a computed tomography imaging system, a positron emission tomography imaging system, a magnetic resonance imaging system, an X-ray imaging system, a nuclear medicine imaging system, an ultrasound imaging system, or combinations thereof.

6. The method of claim 1, wherein dynamically optimizing a sequence of operations comprises obtaining a predefined workflow from a second storage, wherein the predefined workflow is associated with the determined working environment, the determined rule application attribute, or both.

7. The method of claim 1, wherein processing the input data comprises:

pre-processing the input data based on one or more predefined rules;

interpreting the pre-processed data based on the predefined rules; and

post-processing the interpreted data to generate post-processed data.

8. The method of claim 7, wherein pre-processing the input data comprises:

obtaining the input data from a first storage;

formatting the input data;

extracting data based upon the predefined rules; and

computing data based upon the predefined rules.

9. The method of claim 7, wherein interpreting the pre-processed data comprises processing the pre-processed data by an inference engine based on the predefined rules.

10. The method of claim 7, wherein post-processing the interpreted data comprises:

obtaining information associated with system status; and

generating a message indicative of the system status.

11. The method of claim 10, further comprising communicating the generated message to a field service station, a field service technician, or a combination thereof.

12. The method of claim 7, further comprising storing the post-processed data in a third storage.

13. The method of claim 12, further comprising generating a user-viewable representation of the post-processed data, the predefined workflow, the predefined rules, or combinations thereof.

22. The system of claim 21, wherein pre-processing module is configured to:

obtain the input data from a first storage;

format the input data;

extract data based upon the predefined rules; and

compute data based upon the predefined rules.

23. The system of claim 22, wherein the interpreter module is configured to process the pre-processed data via an inference engine based on the predefined rules.

24. The system of claim 21, wherein the post-processing module is configured to:

obtain information associated with system status; and

generate a message indicative of the system status.

25. The system of claim 24, wherein the post-processing module is further configured to communicate the generated message to a field service station, a field service technician, or a combination thereof.

26. The system of claim 21, further configured to generate a user-viewable representation of the post-processed data, the predefined workflow, the predefined rules, or combinations thereof.

27. A system, comprising:

a data source, wherein the data source comprises;

an acquisition subsystem configured to acquire data;

a processing subsystem in operative association with the acquisition subsystem and configured to;

process the acquired data;

generate log data;

a data storage subsystem configured to store the log data;

a detection subsystem in operative association with the data storage subsystem and configured to;

determine a working environment, a rule application attribute, or both, wherein the working environment and the rule application attribute are associated with input data;

dynamically optimize a sequence of operations based on the determined working environment, the determined rule application attribute, or both; and

process the log data based on the optimized sequence of operations.

27-1. The system of claim 26, further configured to generate a user-viewable representation of post-processed data, a predefined workflow, the predefined rules, or combinations thereof.