Ping Yang
Shanghai University of Electric Power , Shanghai, Shanghai Shi, China

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Publications (1)0 Total impact

  • Article: Magnetic flux leakage signal inversion of corrosive flaws based on modified genetic local search algorithm
    Wen-hua Han, Ping Yang, Fei Xia, Yang Xue
    [show abstract] [hide abstract]
    ABSTRACT: In this paper, a modified genetic local search algorithm (MGLSA) is proposed. The proposed algorithm is resulted from employing the simulated annealing technique to regulate the variance of the Gaussian mutation of the genetic local search algorithm (GLSA). Then, an MGLSA-based inverse algorithm is proposed for magnetic flux leakage (MFL) signal inversion of corrosive flaws, in which the MGLSA is used to solve the optimization problem in the MFL inverse problem. Experimental results demonstrate that the MGLSA-based inverse algorithm is more robust than GLSA-based inverse algorithm in the presence of noise in the measured MFL signals.
    Journal of Shanghai Jiaotong University (Science) 04/2012; 14(2):168-172.

Institutions

  • 2012
    • Shanghai University of Electric Power
      Shanghai, Shanghai Shi, China
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