Title :
Dynamic Causality Diagram in Fault Diagnosis
Author :
Shi, Qingxi ; Liang, Xinyuan
Author_Institution :
Dept. of Comput., Chongqing Technol. & Bus. Univ., Chongqing, China
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;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.325
