Abstract
One of the preconditions of accurate defect feature extraction is the consistent channels of eddy current array testing equipment. This paper changes the problems of channel calibration into the regression analysis problems, and presents a new channel calibration method of eddy current array technology based on the crack features. Making use of the partial least-squares regression algorithm on the spline transform and the partial least-squares regression algorithm on the kernel function transform, the functions between the crack feature difference and amplitude of excitation, frequency of excitation, scan direction and detecting time, are set up. The experimental results show that the calibrated resolution of the partial least-squares regression algorithm on the spline transform is superior to the latter algorithm.
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Liu, B., Luo, FL., Pan, MC., Hou, LJ. (2011). A New Channel Calibration Method of Eddy Current Array Technology. In: Zhou, Q. (eds) Theoretical and Mathematical Foundations of Computer Science. ICTMF 2011. Communications in Computer and Information Science, vol 164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24999-0_29
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DOI: https://doi.org/10.1007/978-3-642-24999-0_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24998-3
Online ISBN: 978-3-642-24999-0
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