• DocumentCode
    2814983
  • Title

    The application of time entropy of lift wavelet on ultrasonic signal detection

  • Author

    Yu, Enjun ; Zhao, Tingkai ; Ye, Qingwei

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Zhejiang Univ., Ningbo, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    5354
  • Lastpage
    5357
  • Abstract
    T Ultrasonic signal detection is one kind of the non-destructive testing methods, and it can be non-destructive inspection of the internal defects of materials or mechanical components. One of the difficulties of ultrasonic signal detection is the detection of the echo signal in the ultrasonic signal. Firstly , the basic principle of lifting wavelet transform and the theory of integer lifting wavelet transform of ultrasonic signal is introduced in this paper. Then the wavelet-time entropy algorithm is introduced and the numerical simulations are carried out to prove the feasibility of this algorithm in abnormal signal detection. An improved wavelet-time entropy algorithm is put forward in this paper. The high-frequency coefficients of wavelet transform are replaced by the low-frequency coefficients, and the optimal width of window is worked out for actual ultrasonic signal. The results show that this improved wavelet-time entropy algorithm can effectively detect the echo signal in ultrasonic signal.
  • Keywords
    entropy; numerical analysis; ultrasonic materials testing; wavelet transforms; internal defects; lift wavelet transform; mechanical components; nondestructive testing; numerical simulation; ultrasonic echo signal detection; wavelet-time entropy algorithm; Acoustics; Entropy; Signal detection; Testing; Wavelet analysis; Wavelet transforms; Detection; Integer lifting wavelet; Ultrasonic signal; Wavelet transform; Wavelet-time entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5988202
  • Filename
    5988202