• 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