Title :
Application of SOM artificial neural network to fault diagnosis in nuclear power plant
Author_Institution :
Fac. of Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
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;
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIE.2014.6864650
