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An Event-Based Approach to Distributed Diagnosis of Continuous Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Daigle, Matthew J. Roychoudhurry, Indranil Biswas, Gautam Koutsoukos, Xenofon D. |
| Copyright Year | 2010 |
| Abstract | Distributed 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, 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20110008293.pdf |
| Alternate Webpage(s) | http://www.vuse.vanderbilt.edu/~koutsoxd/www/Publications/phmc_10_102.pdf |
| Alternate Webpage(s) | https://ti.arc.nasa.gov/publications/1845/download/ |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
