DocumentCode :
691025
Title :
Integrated Neural Network Fault Diagnosis Technique and Applications
Author :
Wu Hongqi ; Liu Xia
Author_Institution :
Dept. Electron. & Electr. Eng., Baoji Coll. Arts & Sci., Baoji, China
fYear :
2013
fDate :
21-23 Sept. 2013
Firstpage :
339
Lastpage :
343
Abstract :
The features and existed problems of single sub-NN fault diagnosis are analyzed for advancing the veracity of NN fault diagnosis extremely, INN based on signal types and various eigenvector combinations is introduced for information fusion. A three-layer-series INN is constructed by building information distributed network, sub-NN as well decision-making information fusion network. Diagnosing from all aspects, the effect is outstanding with input signals assembled.
Keywords :
decision making; eigenvalues and eigenfunctions; fault diagnosis; neural nets; decision-making information fusion network; eigenvector combinations; information distributed network; integrated neural network fault diagnosis technique; signal types; single subNN fault diagnosis; three-layer-series INN; Artificial neural networks; Decision making; Fault diagnosis; Power transformers; Training; Vectors; INN; fault diagnosis; transformer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/IMCCC.2013.78
Filename :
6840467
Link To Document :
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