Fault forecast method based on particle filter

Fault prediction based on particle filter approach is designed for dead reckoning investigation hybrid system, it utilizes a group of weighted particles to evaluate the system state, meanwhile, the fault state distribution and fault probability density distribution are calculated. Therefore, we can...

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Bibliographic Details
Published inProceedings of the 30th Chinese Control Conference pp. 4109 - 4114
Main Authors Zhou Kaijun, Yu Lingli
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Dead reckoning
Dead Reckoning Investigation System
Educational institutions
Electronic mail
Fault diagnosis
Fault Forecast
Fault tolerance
Information science
Particle Filter
Particle filters
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Summary:Fault prediction based on particle filter approach is designed for dead reckoning investigation hybrid system, it utilizes a group of weighted particles to evaluate the system state, meanwhile, the fault state distribution and fault probability density distribution are calculated. Therefore, we can predict the fault probability and the fault type, furthermore, the broken-down time step can be assessed. The experimental results show that fault prediction based on particle filter can estimate the fault type for dead reckoning investigation hybrid system effectively.
ISBN:9781457706776
1457706776
ISSN:1934-1768
2161-2927