• DocumentCode
    1592455
  • Title

    Pipe defect sizing with matching pursuit based on modified dynamic differential evolution algorithm to recognize guided wave signal

  • Author

    Chuanjun, Shen ; Yuemin Wang ; Fangjun, Zhou ; Fengrui, Sun

  • Author_Institution
    Coll. of Archit. & Power, Naval Univ. of Eng., Wuhan, China
  • Volume
    4
  • fYear
    2011
  • Firstpage
    324
  • Lastpage
    327
  • Abstract
    The modified dynamic differential evolution (MDDE) algorithm is proposed and applied to matching pursuit (MP) method. Two kinds of steel pipes with blind holes, and notches of different size, respectively, are tested by guided wave test system. The measured signals are decomposed by MP and the defect signals are easy to recognize from the processed signals. The average square root of the residual signals (ASRRS) after each matching pursuit iteration are calculated. The decline trend of ASRRS becomes greater when the defects are bigger. This feature can work as a criterion to estimate the defect size of steel pipes.
  • Keywords
    evolutionary computation; iterative methods; mechanical engineering computing; pattern matching; pipes; signal processing; steel; average square root of the residual signals; blind holes; defect signal recognition; defect size estimation; guided wave signal recognition; guided wave test system; matching pursuit iteration; measured signal decomposition; modified dynamic differential evolution algorithm; pipe defect sizing; steel pipes; Algorithm design and analysis; Approximation algorithms; Heuristic algorithms; Matching pursuit algorithms; Signal processing algorithms; Steel; Time frequency analysis; defect; differential evolution; guided wave; matching pursuit; recognize;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8158-3
  • Type

    conf

  • DOI
    10.1109/ICEMI.2011.6038007
  • Filename
    6038007