• DocumentCode
    441671
  • Title

    Method for acoustic leak detection of fast reactor steam generator using maximum modulus based on wavelet transform

  • Author

    Liu, Zhan-Hui ; Niu, Xiao-Dong ; Mu, Guang-Yu ; Wang, Xin ; Zhang, Hong ; Pang, Yun-Jie

  • Author_Institution
    Coll. of Comput. Sci., Jilin Univ., Changchun, China
  • Volume
    2
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    737
  • Abstract
    It is one of the important measures for safe operation of the fast reactor to use technology of acoustic leak detection to detect water/steam leak of the fast reactor steam generator. Based on experimental data about sodium loop experiment completed by the Liquid Metal Laboratory of Tsinghua University, this paper makes an analytical study on how to introduce maximum modulus theory of wavelet transform into leak detection. Result shows that at high temperature (350 °C), maximum modulus characteristics of signal can be used to make correct judgment on occurrence of leak occurred. In case of small leak at low temperature (250 °C), maximum modulus characteristics of wavelet transform of the signal are not obvious, but it will become visible gradually with increase of leak rate.
  • Keywords
    acoustic signal processing; leak detection; nuclear power stations; nuclear reactor steam generators; wavelet transforms; acoustic leak detection; fast reactor steam generator; maximum modulus theory; nuclear power station; safety; wavelet transform; Acoustic noise; Acoustic signal detection; Acoustic waves; Frequency; Inductors; Leak detection; Power generation; Signal processing; Wavelet analysis; Wavelet transforms; Acoustic Detection; Fast Reactor; Leak; Maximum Modulus; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527041
  • Filename
    1527041