4.7 Article

Classification of pulsed eddy current GMR data on aircraft structures

期刊

NDT & E INTERNATIONAL
卷 43, 期 2, 页码 141-144

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ndteint.2009.10.003

关键词

Giant magneto-resistive (GMR) sensor; Pulsed eddy current (PEC); Principal component analysis (PCA); k-means algorithm

资金

  1. Daegu University Research

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This paper presents a technique to automatically detect third-layer cracks at rivet sites in aircraft structures using the response signals collected by giant magneto-resistive (GMR) sensors. The inspection system uses pulsed waveform as the excitation source of a multi-line coil and captures the transient fields associated with the induced eddy currents via a GMR sensor, which was developed to detect cracking and corrosion in multi-layer aircraft structures. An automatic scan of the region around the rivet generates C-scan image data that can be processed to detect cracks under the rivet head. Using a 2-D image of each rivet head, feature extraction and classification schemes based on principal component analysis and the k-means algorithm have been successfully developed to detect cracks of varying size located in the third layers at a depth of up to 10 mm below the surface. (C) 2009 Elsevier Ltd. All rights reserved.

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