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Defect classification using a new feature for pulsed eddy current sensors
Authors:Gui Yun Tian  Ali Sophian
Affiliation:School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK
Abstract:The objective of this study is to identify defects such as surface cracks, subsurface defects and metal losses using feature based pulsed eddy current sensors. A new feature, termed as the rising point, related to the propagation time of electromagnetic waves in metallic targets is proposed for defect classification. Experimental studies of the validation, robustness of the new feature of rising time are reported. In addition to other features, defects can be detected and quantified robustly and lift-off can also be derived from the rising time. Conclusion and further work are derived on the basis of the findings.
Keywords:Pulsed eddy currents  NDT  Time analysis  Defect detection and classification
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