NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
An Event-Based Approach to Distributed Diagnosis of Continuous SystemsDistributed fault diagnosis solutions are becoming necessary due to the complexity of modern engineering systems, and the advent of smart sensors and computing elements. This paper presents a novel event-based approach for distributed diagnosis of abrupt parametric faults in continuous systems, based on a qualitative abstraction of measurement deviations from the nominal behavior. We systematically derive dynamic fault signatures expressed as event-based fault models. We develop a distributed diagnoser design algorithm that uses these models for designing local event-based diagnosers based on global diagnosability analysis. The local diagnosers each generate globally correct diagnosis results locally, without a centralized coordinator, and by communicating a minimal number of measurements between themselves. The proposed approach is applied to a multi-tank system, and results demonstrate a marked improvement in scalability compared to a centralized approach.
Document ID
20110008293
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Daigle, Matthew
(California Univ. Santa Cruz, CA, United States)
Roychoudhurry, Indranil
(SGT, Inc. Moffett Field, CA, United States)
Biswas, Gautam
(Vanderbilt Univ. Nashville, TN, United States)
Koutsoukos, Xenofon
(Vanderbilt Univ. Nashville, TN, United States)
Date Acquired
August 25, 2013
Publication Date
October 13, 2010
Subject Category
Systems Analysis And Operations Research
Report/Patent Number
ARC-E-DAA-TN2289
ARC-E-DAA-TN1845
Meeting Information
Meeting: 21st International Workshop on the Principles of Diagnosis
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: NAS2-03144
CONTRACT_GRANT: NNA08CG83C
Distribution Limits
Public
Copyright
Public Use Permitted.
No Preview Available