Sizing of wall thinning defects using pulsed eddy current testing signals based on a hybrid inverse analysis method

Shejuan Xie, Zhenmao Chen, Hong En Chen, Xiaowei Wang, Toshiyuki Takagi, Tetsuya Uchimoto

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Quantitative non-destructive evaluation, especially sizing of piping wall thinning in nuclear power plants is still a difficult and urgent issue. In this paper, an inversion approach for PECT (pulsed eddy current testing) signals is developed based on ANN (artificial neural network) method at first for profile reconstruction of wall thinning, the sizing result of NN is then utilized as the initial value of the CG (conjugate gradient) inversion scheme to overcome the shortages of both the NN (accuracy problem) and CG (local minimum problem) methods. Several reconstruction examples using the proposed hybrid strategy indicate that the combination of NN and CG methods is rather effective for wall thinning reconstruction from PECT signals in view of both the robustness and sizing accuracy.

Original languageEnglish
Article number6514798
Pages (from-to)1653-1656
Number of pages4
JournalIEEE Transactions on Magnetics
Volume49
Issue number5
DOIs
Publication statusPublished - 2013

Keywords

  • Hybrid inverse analysis
  • local wall thinning
  • pulsed eddy current testing
  • quantitative NDT

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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