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
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;
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
DOI :
10.1109/WCICA.2008.4593097
