• DocumentCode
    396726
  • Title

    Failure analysis of transmission devices using self-organizing map

  • Author

    Wang, Bingchen ; Omatu, Sigeru ; Abe, Toshiro

  • Author_Institution
    Graduate Sch. of Eng., Osaka Prefecture Univ., Japan
  • Volume
    2
  • fYear
    2003
  • fDate
    20-24 July 2003
  • Firstpage
    1037
  • Abstract
    In this paper, a general failure analysis method of transmission devices is proposed. First, we record the acoustic signals of good and no good transmission devices in operation. Then we decompose the acoustic signals by using wavelet transform. From all the components of signal, we select the significant component, which corresponds to the specified failure, based on the reconstructed signal, while setting the lower level wavelet approximation to zero. Next, we compute the frequency characteristic of the significant component and use the self-organizing map (SOM) to classify the specified no good products from the good and other no good products. By comparing the difference between the groups of specified no good products and good products, we can estimate the cause of trouble. Furthermore, while an unknown product is inputted to the SOM network, we can determine whether the inputted product has the specified failure. The experimental results show that the proposed method can perform the failure analysis of transmission devices successfully.
  • Keywords
    acoustic signal processing; failure analysis; self-organising feature maps; wavelet transforms; acoustic signals; failure analysis; frequency characteristic; good products; self-organizing map; transmission devices; wavelet transform; Acoustic devices; Acoustic testing; Acoustic waves; Acoustical engineering; Automatic testing; Cities and towns; Failure analysis; Frequency; Production facilities; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2003. Proceedings of the International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7898-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2003.1223833
  • Filename
    1223833