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An event-based approach to distributed diagnosis of continuous systems
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Koutsoukos, Xenofon Daigle, Matthew Roychoudhurry, Indranil Biswas, Gautam |
| Copyright Year | 2010 |
| Description | 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, 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. |
| File Size | 247282 |
| Page Count | 8 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20110008293 |
| Archival Resource Key | ark:/13960/t1wd8v74q |
| Language | English |
| Publisher Date | 2010-10-13 |
| Access Restriction | Open |
| Subject Keyword | Systems Analysis And Operations Research Faults Losses Error Analysis Fault Detection Systems Engineering Safety Factors Symbols Diagnosis Signatures Reliability Failure Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
