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