Sensors and Materials
ISSN 0914-4935

Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials,
Volume 29, Number 9(2) (2017)

Copyright(C) MYU K.K. All Rights Reserved.
pp. 1325-1338
S&M1426
https://doi.org/10.18494/SAM.2017.1610
Published: September 27, 2017

Data-Driven Method for the Measurement of Thickness/Depth Using Pulsed Eddy Current [PDF]

Lulu Tian, Yuhua Cheng, Chun Yin, Xuegang Huang, Bo Zhang, and Libing Bai

(Received March 31, 2017; Accepted July 4, 2017)

Keywords: pulsed eddy current, thickness measurement, signal processing, nondestructive evaluation, principal component analysis (PCA)

A data-driven method is used to measure the thickness/subsurface-crack-depth of metal specimens. The measuring system is driven by a pulsed eddy current (PEC), and for every detection process a huge data set is obtained because of the high detection speed. To choose the best data to compute the thickness/subsurface-crack-depth, the Jarque–Bera (JB) statistical test is imported into the algorithm. The proposed method is applied to select the best data from the huge detection data set by utilizing the statistical characteristics of the data. Influenced by noise, the detection results may differ when the same thickness/subsurface-crack-depth is measured. To guarantee the accuracy of the measurement, principal component analysis (PCA) is used to combine all detection data. Experimental results show the advantages of the proposed method.

Corresponding author: Chun Yin


Cite this article
Lulu Tian, Yuhua Cheng, Chun Yin, Xuegang Huang, Bo Zhang, and Libing Bai, Data-Driven Method for the Measurement of Thickness/Depth Using Pulsed Eddy Current, Sens. Mater., Vol. 29, No. 9, 2017, p. 1325-1338.


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