Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing
Cracks with inclination angles may potentially cause damage to a larger region in the tested structures. Their characterization, in terms of depth and angle, is therefore paramount for ensuring the integrity of the specimen under test. This study extracts features from Pulsed eddy current (PEC) sig...
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Elsevier Ltd
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iium-685212019-07-12T08:54:16Z http://irep.iium.edu.my/68521/ Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing Nafiah, Faris Sophian, Ali Khan, Md. Raisuddin Zainal Abidin, Ilham Mukriz T Technology (General) TJ170 Mechanics applied to machinery. Dynamics Cracks with inclination angles may potentially cause damage to a larger region in the tested structures. Their characterization, in terms of depth and angle, is therefore paramount for ensuring the integrity of the specimen under test. This study extracts features from Pulsed eddy current (PEC) signals obtained in a linear scan, perpendicular to the simulated surface cracks. The novel features extracted, termed skewness, LLS and LSmax, are capable of defining crack depth and inclination angles simultaneously. Multiple linear regression (MLR) was built to perform depth prediction, and the pre-determined depths were used in the hierarchical linear model (HLM) for angle prediction. The results were then compared with depth and angle prediction using artificial neural network (ANN). Better reliability of the ANN model with recorded RMSE of 0.198mm and 2.903° in depth and angle prediction are highlighted. ANN is favourable in handling simultaneous prediction of crack depth and inclination angles, when using interdependent features. Meanwhile, HLM is still approved as a technique to provide a preliminary understanding of the crack parameters. Elsevier Ltd 2019-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/68521/1/68521_Quantitative%20evaluation%20of%20crack%20depths.pdf application/pdf en http://irep.iium.edu.my/68521/2/68521_Quantitative%20evaluation%20of%20crack%20depths_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/68521/13/68521_Quantitative%20evaluation%20of%20crack%20depths%20and%20angles_wos.pdf Nafiah, Faris and Sophian, Ali and Khan, Md. Raisuddin and Zainal Abidin, Ilham Mukriz (2019) Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing. NDT and E International, 102. pp. 180-188. ISSN 0963-8695 https://www.sciencedirect.com/science/article/pii/S0963869517307521 10.1016/j.ndteint.2018.11.019 |
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T Technology (General) TJ170 Mechanics applied to machinery. Dynamics |
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T Technology (General) TJ170 Mechanics applied to machinery. Dynamics Nafiah, Faris Sophian, Ali Khan, Md. Raisuddin Zainal Abidin, Ilham Mukriz Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing |
description |
Cracks with inclination angles may potentially cause damage to a larger region in the tested structures. Their
characterization, in terms of depth and angle, is therefore paramount for ensuring the integrity of the specimen under test. This study extracts features from Pulsed eddy current (PEC) signals obtained in a linear scan, perpendicular to the simulated surface cracks. The novel features extracted, termed skewness, LLS and LSmax, are capable of defining crack depth and inclination angles simultaneously. Multiple linear regression (MLR) was
built to perform depth prediction, and the pre-determined depths were used in the hierarchical linear model
(HLM) for angle prediction. The results were then compared with depth and angle prediction using artificial
neural network (ANN). Better reliability of the ANN model with recorded RMSE of 0.198mm and 2.903° in depth
and angle prediction are highlighted. ANN is favourable in handling simultaneous prediction of crack depth and
inclination angles, when using interdependent features. Meanwhile, HLM is still approved as a technique to
provide a preliminary understanding of the crack parameters. |
format |
Article |
author |
Nafiah, Faris Sophian, Ali Khan, Md. Raisuddin Zainal Abidin, Ilham Mukriz |
author_facet |
Nafiah, Faris Sophian, Ali Khan, Md. Raisuddin Zainal Abidin, Ilham Mukriz |
author_sort |
Nafiah, Faris |
title |
Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing |
title_short |
Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing |
title_full |
Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing |
title_fullStr |
Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing |
title_full_unstemmed |
Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing |
title_sort |
quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing |
publisher |
Elsevier Ltd |
publishDate |
2019 |
url |
http://irep.iium.edu.my/68521/ http://irep.iium.edu.my/68521/ http://irep.iium.edu.my/68521/ http://irep.iium.edu.my/68521/1/68521_Quantitative%20evaluation%20of%20crack%20depths.pdf http://irep.iium.edu.my/68521/2/68521_Quantitative%20evaluation%20of%20crack%20depths_SCOPUS.pdf http://irep.iium.edu.my/68521/13/68521_Quantitative%20evaluation%20of%20crack%20depths%20and%20angles_wos.pdf |
first_indexed |
2023-09-18T21:37:14Z |
last_indexed |
2023-09-18T21:37:14Z |
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