Name
Title | ||
|---|---|---|
An extended qualitative multi-faults diagnosis from first principles I: Theory and modelling |
Abstract | ||
|---|---|---|
This paper is part I of a two part effort that is intended to present a framework of multi-faults diagnosis. Reiter has proposed a consistency-based approach for multi-faults diagnosis. We extend his theory to deal with the dynamic and continuous systems and offer a necessary assumption and a formal demonstration. Multi-faults diagnosis is a partially observable problem because there is usually not enough information about faults. So the STRIPS, a classic technique of automated planning, is chosen to build the system model. It provides the reasoning ability for the multi-faults diagnosis when diagnosis is formalized as reasoning from effects to causes with causal knowledge. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CDC.2009.5400641 | CDC |
Keywords | Field | DocType |
observability,dynamic systems,automated planning,partially observable problem,planning (artificial intelligence),extended qualitative multifaults diagnosis,strips,causal knowledge,fault diagnosis,causality,continuous systems,reasoning ability,system modeling,vehicle dynamics,data mining,algorithm design and analysis,valves,first principle,automata | Causality,Observability,Algorithm design,Computer science,Control theory,Automaton,Vehicle dynamics,Artificial intelligence,Machine learning,System model | Conference |
ISSN | ISBN | Citations |
0191-2216 E-ISBN : 978-1-4244-3872-3 | 978-1-4244-3872-3 | 1 |
PageRank | References | Authors |
0.36 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| He-xuan Hu | 1 | 3 | 1.08 |
| Anne-Lise Gehin | 2 | 45 | 8.57 |
| Mireille Bayart | 3 | 33 | 7.46 |