Improving Distributed Diagnosis Through Structural Model Decomposition
- Pulido, Belarmino
- October 04, 2011.
- Physical Description:
- 1 electronic document
- Additional Creators:
- Biswas, Gautam, Bregon, Anibal, Roychoudhury, Indranil, Daigle, Matthew John, and Koutsoukos, Xenofon
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- Complex 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.
- Other Subject(s):
- NASA Technical Reports Server (NTRS) Collection.
- Document ID: 20130010948.
22nd International Workshop on Principles of Diagnosis; 4 Oct. 2011; Murnau; Germany.
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