DocumentCode :
2936956
Title :
Application of Integrated Neural Network Based on MATLAB to Fault Diagnosis in Feed Water Pump
Author :
Du Zhongqing ; Li Jun ; Li Qing ; Hu Niansu
Author_Institution :
Dean´s Office, Jiangxi Vocational &Tech. Coll. of Electr., Nanchang, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
7
Abstract :
Vibration faults frequently occurring to the feed water pump in large-scale power plants are diagnosed by the integrated neural network based on MATLAB. The integrated neural network for fault diagnosis is established from individual neural network and on the basis of information fusion. The strategies and principles for the realization and formation of integrated neural network are analyzed and a case of fault diagnosis of the feed water pump is given to prove the efficiency and accuracy of the integrated neural network for fault diagnosis.
Keywords :
fault diagnosis; neural nets; power engineering computing; pumping plants; vibrations; MATLAB; fault diagnosis; feed water pump; integrated neural network; large-scale power plants; vibration faults; Artificial neural networks; Biological neural networks; Fault diagnosis; Feeds; Rotors; Training; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5748893
Filename :
5748893
Link To Document :
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