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Qualitative Event-Based Diagnosis: Case Study on the Second International Diagnostic CompetitionWe describe a diagnosis algorithm entered into the Second International Diagnostic Competition. We focus on the first diagnostic problem of the industrial track of the competition in which a diagnosis algorithm must detect, isolate, and identify faults in an electrical power distribution testbed and provide corresponding recovery recommendations. The diagnosis algorithm embodies a model-based approach, centered around qualitative event-based fault isolation. Faults produce deviations in measured values from model-predicted values. The sequence of these deviations is matched to those predicted by the model in order to isolate faults. We augment this approach with model-based fault identification, which determines fault parameters and helps to further isolate faults. We describe the diagnosis approach, provide diagnosis results from running the algorithm on provided example scenarios, and discuss the issues faced, and lessons learned, from implementing the approach
Document ID
20110008499
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Daigle, Matthew
(California Univ. Santa Cruz, CA, United States)
Roychoudhury, Indranil
(SGT, Inc. Moffett Field, CA, United States)
Date Acquired
August 25, 2013
Publication Date
October 13, 2010
Subject Category
Engineering (General)
Report/Patent Number
ARC-E-DAA-TN2207
Meeting Information
Meeting: 21st International Workshop on the Principles of Diagnosis (DX-10)
Location: Portland, OR
Country: United States
Start Date: October 13, 2010
End Date: October 16, 2010
Sponsors: Prognostics and Health Management Society
Funding Number(s)
CONTRACT_GRANT: NNA08CG83C
CONTRACT_GRANT: NAS2-03144
Distribution Limits
Public
Copyright
Public Use Permitted.
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