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Fault diagnosis without a priori model
- Source :
- Systems and Control Letters, Systems and Control Letters, Elsevier, 2012, 61 (2), pp.316-321. ⟨10.1016/j.sysconle.2011.11.006⟩, Systems and Control Letters, 2012, 61 (2), pp.316-321. ⟨10.1016/j.sysconle.2011.11.006⟩
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- International audience; This article proposes an algebraic method to fault diagnosis for uncertain linear systems. The main advantage of this new approach is to realize fault diagnosis only from knowledge of input and output measurements without identifying explicitly model parameters. Using tools and results of algebraic identification and pseudospectra analysis, the issues of robustness of the pro- posed approach compared to the model order and noise measurement are examined. Numerical examples are provided and discussed to illustrate the efficiency of the proposed fault diagnosis method.
- Subjects :
- 0209 industrial biotechnology
Engineering
General Computer Science
free-model fault diagnosis
010103 numerical & computational mathematics
02 engineering and technology
01 natural sciences
Fault detection and isolation
[SPI.AUTO]Engineering Sciences [physics]/Automatic
020901 industrial engineering & automation
Control theory
Robustness (computer science)
0101 mathematics
Electrical and Electronic Engineering
Noise measurement
business.industry
Mechanical Engineering
Linear system
Fault indicator
Stuck-at fault
sensor fault
Control and Systems Engineering
actuator fault
Fault coverage
Fault model
business
Algorithm
Subjects
Details
- Language :
- English
- ISSN :
- 01676911 and 18727956
- Database :
- OpenAIRE
- Journal :
- Systems and Control Letters, Systems and Control Letters, Elsevier, 2012, 61 (2), pp.316-321. ⟨10.1016/j.sysconle.2011.11.006⟩, Systems and Control Letters, 2012, 61 (2), pp.316-321. ⟨10.1016/j.sysconle.2011.11.006⟩
- Accession number :
- edsair.doi.dedup.....dec1360804ace5de1f3e8d913d4607de