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
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;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.78