DocumentCode :
623372
Title :
Bi-objective optimization in a wavelet identification procedure for fault detection in dynamic systems
Author :
Queiroz Duarte, Marco Aparecido ; Kawakami Harrop Galvao, Roberto ; Mohallem Paiva, Henrique
Author_Institution :
Dept. of Math., Univ. Estadual de Mato Grosso do Sul (UEMS), Cassilandia, Brazil
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
1319
Lastpage :
1324
Abstract :
This paper presents a wavelet-based fault detection approach where wavelet parameters are optimized in order to minimize the residue in nominal operating conditions and maximize it in faulty operating conditions. For this purpose a bi-objective optimization procedure is used. By taking into account the effects of the fault in the proposed optimization procedure, the sensitivity of the detector is improved and the detection delay is reduced. For illustration, a simulated example involving the detection of a sensor fault in a 747 aircraft is presented.
Keywords :
fault diagnosis; identification; optimisation; sensitivity; sensors; time-varying systems; wavelet transforms; 747 aircraft; biobjective optimization procedure; detection delay; detector sensitivity; dynamic systems; faulty operating conditions; sensor fault; wavelet identification procedure; wavelet-based fault detection approach; Atmospheric modeling; Delays; Discrete wavelet transforms; Fault detection; Optimization; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
Type :
conf
DOI :
10.1109/ICIEA.2013.6566571
Filename :
6566571
Link To Document :
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