DocumentCode
1767447
Title
Application of SOM artificial neural network to fault diagnosis in nuclear power plant
Author
Yang Xuhong
Author_Institution
Fac. of Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
fYear
2014
fDate
1-4 June 2014
Firstpage
422
Lastpage
425
Abstract
In this article, the SOM artificial neural network Method, which is advanced in no require of pre-setting goals, respond differently according to different inputs, automatic classification and so on, is used in a nuclear power plant for detecting the typical fault of the secondary condensate feed water system.
Keywords
fault diagnosis; neural nets; nuclear power stations; SOM artificial neural network; fault diagnosis; nuclear power plant; secondary condensate feed water system; Artificial neural networks; Circuit faults; Feeds; Generators; Power generation; Training; Valves; fault diagosis; nuclear power plant; som artificial neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location
Istanbul
Type
conf
DOI
10.1109/ISIE.2014.6864650
Filename
6864650
Link To Document