Improving Distributed Diagnosis Through Structural Model DecompositionComplex engineering systems require efficient fault diagnosis methodologies, but centralized approaches do not scale well, and this motivates the development of distributed solutions. This work presents an event-based approach for distributed diagnosis of abrupt parametric faults in continuous systems, by using the structural model decomposition capabilities provided by Possible Conflicts. We develop a distributed diagnosis algorithm that uses residuals computed by extending Possible Conflicts to build local event-based diagnosers based on global diagnosability analysis. The proposed approach is applied to a multitank system, and results demonstrate an improvement in the design of local diagnosers. Since local diagnosers use only a subset of the residuals, and use subsystem models to compute residuals (instead of the global system model), the local diagnosers are more efficient than previously developed distributed approaches.
Document ID
20130010948
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Bregon, Anibal (Valladolid Univ. Spain)
Daigle, Matthew John (California Univ. Santa Cruz, CA, United States)
Roychoudhury, Indranil (Stinger Ghaffarian Technologies, Inc. (SGT, Inc.) Moffett Field, CA, United States)
Biswas, Gautam (Vanderbilt Univ. Nashville, TN, United States)
Koutsoukos, Xenofon (Vanderbilt Univ. Nashville, TN, United States)
Pulido, Belarmino (Valladolid Univ. Spain)
Date Acquired
August 27, 2013
Publication Date
October 4, 2011
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
ARC-E-DAA-TN4040
Meeting Information
Meeting: 22nd International Workshop on Principles of Diagnosis