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Diagnosability Analysis of Intermittent Faults in Discrete Event Systems Using a Twin-plant Structure
- Source :
- International Journal of Control, Automation and Systems, International Journal of Control, Automation and Systems, 2019, 18 (3), pp682-695. ⟨10.1007/s12555-018-0682-9⟩
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Most research in fault diagnosis of discrete event systems has been focused on permanent failures. However, experience with monitoring of dynamic systems shows that intermittent faults are predominant, and that their diagnosis constitutes one of the most challenging tasks for surveillance activities. Among the main existing approaches to deal with permanent faults, two were widely investigated while considering different settings: the Diagnoser based approach, and the Twin-plant based approach. The latter was developed to cope with some complexity limitations of the former. In the present paper, we propose a twin-plant based approach to deal with diagnosability of intermittent faults. Firstly, we discuss various notions of diagnosability, while considering the occurrence of faults, their recovery, and the identification of the system status. Then, we establish the necessary and sufficient conditions for each notion, and develop on-the-fly algorithms to check these properties. The discussed approach is implemented in a prototype tool that is used to conduct experiments on a railway control benchmark.
- Subjects :
- 0209 industrial biotechnology
AUTOMATISME
Computer science
SYSTEME DISCRET
METHODE DES ELEMENTS DISCRETS
02 engineering and technology
Fault (power engineering)
INTERMITTENT FAULTS
FINITE STATE AUTOMATA
DIAGNOSABILITY
DIAGNOSTIC
020901 industrial engineering & automation
ALGORITHME
PROBABILITE DE DEFAILLANCE
DISCRETE EVENT SYSTEM
[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC]
Structure (mathematical logic)
Event (computing)
business.industry
Robotics
Mechatronics
FAULT DIAGNOSIS
Computer Science Applications
Reliability engineering
SYSTEME DYNAMIQUE
TRANSPORT FERROVIAIRE
Identification (information)
Control and Systems Engineering
SYSTEME A EVENEMENTS DISCRETS
Benchmark (computing)
Artificial intelligence
business
Subjects
Details
- ISSN :
- 20054092 and 15986446
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- International Journal of Control, Automation and Systems
- Accession number :
- edsair.doi.dedup.....f501d55bb086b5582a13e7823eea76d9