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