DocumentCode
2478820
Title
Fault diagnosis for hybrid dynamic systems with imperfect model based on particle filters
Author
Duan, Zhuohua ; Long, Tengfang ; Cai, Zixing
Author_Institution
Sch. of Inf. Eng., Shaoguan Univ., Shaoguan
fYear
2008
fDate
25-27 June 2008
Firstpage
1212
Lastpage
1217
Abstract
A particle filter is put forward for fault diagnosis of hybrid dynamic system with imperfect models. Firstly, the divergence of the general particle filter for imperfect systems is discussed. Secondly, two kinds of statistics are put forward, i.e. normalization factor and belief of maximal a-posteriori probability state. Finally, threshold logic is presented to detect unknown-faults, and its correctness is proven under some reasonable assumptions.
Keywords
fault diagnosis; particle filtering (numerical methods); time-varying systems; fault diagnosis; hybrid dynamic systems; imperfect model; maximal a-posteriori probability state; normalization factor; particle filters; Automation; Bayesian methods; Fault diagnosis; Intelligent control; Noise measurement; Particle filters; Particle measurements; Space exploration; Statistics; Time measurement; Fault diagnosis; hybrid dynamic system; incomplete model; particle filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593097
Filename
4593097
Link To Document