DocumentCode
496275
Title
Dynamic Causality Diagram in Fault Diagnosis
Author
Shi, Qingxi ; Liang, Xinyuan
Author_Institution
Dept. of Comput., Chongqing Technol. & Bus. Univ., Chongqing, China
Volume
1
fYear
2009
fDate
24-26 April 2009
Firstpage
225
Lastpage
227
Abstract
In order to overcomes some shortages of Belief Network dynamic causality diagram is put forward. Its knowledge expression, reasoning, probability computing and also the model of causality diagram used for system fault diagnosis, the model constructing method and reasoning algorithm are proposed. At last, an application example in the fault diagnosis of the nuclear power plant is given which shows that the method is effective.
Keywords
belief networks; causality; fault diagnosis; nuclear power stations; belief network; dynamic causality diagram; knowledge expression; nuclear power plant; probability computing; reasoning algorithm; system fault diagnosis; Application software; Artificial intelligence; Computer industry; Computer networks; Couplings; Fault diagnosis; Power generation; Power system modeling; Probability; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.325
Filename
5193681
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