DocumentCode :
2725814
Title :
Evolution Strategies Based Particle Filters for Fault Detection
Author :
Uosaki, Katsuji ; Hatanaka, Teruyoshi
Author_Institution :
Dept. of Manage. & Inf. Sci., Fukui Univ. of Technol.
fYear :
2007
fDate :
1-5 April 2007
Firstpage :
58
Lastpage :
65
Abstract :
Recent massive increase of the computational power has allowed to rebirth of Monte Carlo integration and its application of Bayesian filtering, or particle filters. Particle filters evaluate a posterior probability distribution of the state variable based on observations in Monte Carlo simulation using so-called importance sampling. However, the filter performance is deteriorated by degeneracy phenomena in the importance weights. Recognizing the similarities and the difference of the processes between the particle filters and evolution strategies, an evolutionary computation approaches, a novel filter called the evolution strategies based particle filter (ESP) has been proposed to circumvent this difficulty and to improve the performance. Here, the ESP filter is applied to fault detection of nonlinear stochastic state space models. Its applicability is exemplified by numerical simulation studies
Keywords :
Bayes methods; evolutionary computation; fault diagnosis; filtering theory; importance sampling; statistical distributions; stochastic processes; Bayesian filtering; Monte Carlo simulation; a posterior probability distribution; evolution strategies based particle filters; evolutionary computation; fault detection; importance sampling; nonlinear stochastic state space models; Bayesian methods; Electrostatic precipitators; Evolutionary computation; Fault detection; Filtering; Monte Carlo methods; Particle filters; Probability distribution; State-space methods; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0707-9
Type :
conf
DOI :
10.1109/CIISP.2007.369294
Filename :
4221395
Link To Document :
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