DocumentCode :
3532908
Title :
Inversion-based synthesis algorithm of periodic fault detection and isolation filters
Author :
Varga, A.
Author_Institution :
Inst. of Syst. Dynamics & Control, German Aerosp. Center, Wessling, Germany
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
4367
Lastpage :
4372
Abstract :
A numerically reliable lifting-free computational method is proposed to solve fault detection and isolation problems for periodic systems using a model matching approach. The synthesis procedure employs numerically reliable algorithms to determine least order annihilators of periodic systems to reduce the corresponding periodic model matching problem to a simpler form. The reduced problem is then solved using an explicit periodic system inversion based approach. If the resulting fault detection filter is not stable and/or not causal, then a final stabilization step is performed using periodic coprime factorization techniques. The proposed integrated synthesis algorithm has strongly coupled computational steps, where all available structural information at the end of each computational step are fully exploited in the subsequent computations.
Keywords :
fault diagnosis; numerical analysis; stability; explicit periodic system inversion; fault detection filter; final stabilization step; inversion-based synthesis algorithm; isolation filters; isolation problems; least order annihilators; numerically reliable algorithms; numerically reliable lifting-free computational method; periodic coprime factorization; periodic fault detection; periodic model matching problem; periodic systems; structural information; synthesis procedure; Computational modeling; Detectors; Fault detection; Heuristic algorithms; Numerical models; Reliability; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760561
Filename :
6760561
Link To Document :
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