Identification of defects from ECT signals using linear discriminant function

Weiying Cheng, Shigeru Kanemoto, Ichiro Komura

研究成果: Chapter

抄録

Statistical pattern recognition method is applied to eddy current testing (ECT) based defect identification in this work. Spatially distributed ECT signals are converted into a multi-dimensional space vector using data embedding method and the Fisher's discriminant is then applied to find the linear projection of the multi-dimensional data that best distinguish defect and non-defect signals. A set of potential defects are clearly distinguished from welding noise by utilizing the discriminant function derived from supervised learning. Furthermore, the correlation between the probability of detection and the dimension of constructed vector space is investigated. Both the false and miss detection probability decrease with the increase of vector dimension. The reliability of a discriminant method is significantly enhanced by increasing the dimension of vector space.

本文言語English
ホスト出版物のタイトルElectromagnetic Nondestructive Evaluation (X)
編集者Seiki Takahashi, Hiroaki Kikuchi
ページ251-258
ページ数8
出版ステータスPublished - 2007 12 1
外部発表はい

出版物シリーズ

名前Studies in Applied Electromagnetics and Mechanics
28
ISSN(印刷版)1383-7281
ISSN(電子版)1879-8322

ASJC Scopus subject areas

  • 機械工学
  • 電子工学および電気工学

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