• DocumentCode
    393691
  • Title

    Impact sound analysis by answer-in-weights neural network for damping ratio estimation

  • Author

    Takahashi, Yoshikazu ; Ogawa, Takehiko ; Kanada, Hajime ; Mori, Kiyomi

  • Author_Institution
    Dept. of Electron. & Comput. Syst., Takushoku Univ., Tokyo, Japan
  • Volume
    4
  • fYear
    2002
  • fDate
    5-7 Aug. 2002
  • Firstpage
    2301
  • Abstract
    The method has been studied for evaluating the damping ratio of composite material by impact sound. So far, the method was examined for obtaining the damping ratio from the change of the vibration. However, it was difficult to estimate accurately by this method, because of the attenuation tendency might be uncertain. In this paper, we propose to use a neural network for impact sound analysis. We examined this neural network method through the computer simulation using the data of actual impact sound. As the result, we confirmed the effectiveness of using the neural network for estimating the damping ratio.
  • Keywords
    acoustic emission testing; composite materials; damping; impact testing; neural nets; physics computing; answer-in-weights neural network; attenuation tendency; composite material; computer simulation; damping ratio estimation; impact sound analysis; neural network; vibration change; Chaos; Composite materials; Computer networks; Damping; Economic indicators; Magnetooptic recording; Neural networks; Optical wavelength conversion; Steel; Vibration measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2002. Proceedings of the 41st SICE Annual Conference
  • Print_ISBN
    0-7803-7631-5
  • Type

    conf

  • DOI
    10.1109/SICE.2002.1195762
  • Filename
    1195762