Intelligent system supporting non-destructive evaluation of SCC using eddy current test

Shigeru Kanemoto, Weiying Cheng, Ichiro Komura, Mitsuharu Shiwa, Shigeaki Tsunoyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Two premier issues in eddy current testing (EeT), that are, the automatic identification of cracks from their noisy backgrounds and sizing of cracks with complex morphologies, are dealt in this paper. A signal processing method based on statistical pattern recognition is established to realize automatic crack identification. And a new method for estimating crack depth is proposed by utilizing a new concept depth sizing index which is analytically constructed from raw measurement signals based on system optimization theory.

Original languageEnglish
Title of host publicationApplied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006
EditorsPierre D'Hondt, Etienne E. Kerre, Da Ruan, Martine De Cock, Mike Nachtegael, Paolo F. Fantoni
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages745-752
Number of pages8
ISBN (Electronic)9812566902, 9789812566904
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventApplied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 - Genova, Italy
Duration: 2006 Aug 292006 Aug 31

Publication series

NameApplied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

Other

OtherApplied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006
CountryItaly
CityGenova
Period06/8/2906/8/31

ASJC Scopus subject areas

  • Information Systems
  • Computational Theory and Mathematics
  • Nuclear and High Energy Physics

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