• DocumentCode
    2778903
  • Title

    Identification of overlapped ultrasonic NDE echoes with adaptive deconvolution

  • Author

    Feng, Tong ; Xiao-Mei, Xu ; Tso, S.K. ; Luk, B.L.

  • Author_Institution
    Xiamen Univ., Xiamen
  • fYear
    2007
  • fDate
    4-6 Dec. 2007
  • Firstpage
    48
  • Lastpage
    51
  • Abstract
    Ultrasonic nondestructive evaluation (NDE) application, narrow bandwidth of ultrasonic transducer will cause highly overlapped echoes, limiting the characterization performance of inspection. The least mean square (LMS) adaptive algorithm has gained wide applications in adaptive filtering, control and signal processing due to its effectiveness, low computational complexity and simplicity. The purpose of this paper is to investigate the LMS algorithm based adaptive deconvolution techniques in order to improving the time resolution of ultrasonic nondestructive detection. The theoretical basis as well as the implementation is provided. Experimental results on physical ultrasonic NDE data conforms the resolution improvement of proposed method.
  • Keywords
    computational complexity; deconvolution; echo; least mean squares methods; ultrasonic materials testing; ultrasonic transducers; adaptive deconvolution; computational complexity; least mean square adaptive algorithm; overlapped echoes; overlapped ultrasonic nondestructive evaluation; time resolution; ultrasonic transducer; Adaptive algorithm; Adaptive filters; Bandwidth; Deconvolution; Inspection; Least squares approximation; Limiting; Process control; Signal processing algorithms; Ultrasonic transducers; LMS algorithm; adaptive deconvolution; ultrasonic transducer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Machine Vision in Practice, 2007. M2VIP 2007. 14th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-1358-4
  • Electronic_ISBN
    978-1-4244-1358-4
  • Type

    conf

  • DOI
    10.1109/MMVIP.2007.4430713
  • Filename
    4430713