Title :
Intelligent fault diagnosis technique based on causality diagram
Author :
Qingxi, Shi ; Hongchun, Wang ; Qin, Zhang
Author_Institution :
Dept. of Autom., Chongqing Univ., China
Abstract :
We discuss the knowledge expression, reasoning and probability computing in causality diagram, which is developed from the belief network and overcomes some shortages. The model of causality diagram used for system fault diagnosis is brought forward, and the model constructing method and reasoning algorithm are also presented. At last, an application example in the fault diagnosis of the nuclear power plant is given which shows that the method is effect.
Keywords :
belief networks; cause-effect analysis; fault diagnosis; nuclear power stations; probability; belief network; causality diagram; intelligent fault diagnosis technique; knowledge expression; nuclear power plant; probability computing; reasoning computing; Application software; Artificial intelligence; Automation; Computer industry; Computer networks; Fault diagnosis; Power generation; Power system modeling; Probability; Uncertainty;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340973