DocumentCode :
2861091
Title :
A Method of Fault Diagnosis in Nuclear Plant Based on Fuzzy Sets
Author :
Li, ZhiChun ; Liu, XiaoMin
Author_Institution :
Inf. Technol. Center, China Nucl. Power Technol. Res. Inst., Shenzhen, China
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
264
Lastpage :
266
Abstract :
Nuclear power plant is a large and complex system, when it fail, a fast and accurate fault diagnosis is needed to ensure a safe and efficient working of nuclear power plant. In this paper, the feasibility of exploiting fault diagnosis system based on fuzzy sets theory in nuclear plant was demonstrated. The genetic algorithm was introduced to optimize the rules of diagnosis, so as to achieve fast fault diagnosis of nuclear power plant, to ensure maximum security and stability of the power plant.
Keywords :
fault diagnosis; fuzzy set theory; genetic algorithms; nuclear power stations; fault diagnosis; fuzzy sets theory; genetic algorithm; nuclear power plant; Fault diagnosis; Fuzzy set theory; Fuzzy sets; Genetic algorithms; Optimization; Power generation; Redundancy; Nuclear power plant; fault diagnosis; fuzzy sets; genetic algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
Conference_Location :
Shenzhan
Print_ISBN :
978-1-4577-1219-7
Type :
conf
DOI :
10.1109/IBICA.2011.69
Filename :
6118594
Link To Document :
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