Dynamic Causality Diagram in Vehicular Engine's Fault Diagnosis

We discuss the knowledge expression, reasoning and probability computing in dynamic causality diagram, which is developed from the belief network and overcomes some shortages of belief network. The model of causality diagram used for vehicular enginepsilas fault diagnosis is brought forward, and the...

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Bibliographic Details
Published in2009 WRI Global Congress on Intelligent Systems Vol. 1; pp. 262 - 266
Main Authors Qingxi Shi, Jianguo Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Application software
Artificial intelligence
Cascading style sheets
Computer networks
Couplings
Engines
Fault diagnosis
Probability
Uncertainty
Vehicle dynamics
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Summary:We discuss the knowledge expression, reasoning and probability computing in dynamic causality diagram, which is developed from the belief network and overcomes some shortages of belief network. The model of causality diagram used for vehicular enginepsilas fault diagnosis is brought forward, and the model constructing method and reasoning algorithm are also presented. At last, an application example in the vehicular enginepsilas fault diagnosis is given which shows that the method is effective.
ISBN:9780769535715
0769535712
ISSN:2155-6083
2155-6091
DOI:10.1109/GCIS.2009.304