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Defect Classification Using Postpeak Value for Pulsed Eddy-Current Technique

In this paper, a feature termed as the postpeak value is proposed for the pulsed eddy current technique (PECT). Moreover, a method using the postpeak value is proposed to classify surface and reverse defects. A PECT system is built for verification purposes. Experiment results prove that the postpea...

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Detalles Bibliográficos
Autores principales: Ge, Jiuhao, Yang, Chenkai, Wang, Ping, Shi, Yongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349699/
https://www.ncbi.nlm.nih.gov/pubmed/32560050
http://dx.doi.org/10.3390/s20123390
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author Ge, Jiuhao
Yang, Chenkai
Wang, Ping
Shi, Yongsheng
author_facet Ge, Jiuhao
Yang, Chenkai
Wang, Ping
Shi, Yongsheng
author_sort Ge, Jiuhao
collection PubMed
description In this paper, a feature termed as the postpeak value is proposed for the pulsed eddy current technique (PECT). Moreover, a method using the postpeak value is proposed to classify surface and reverse defects. A PECT system is built for verification purposes. Experiment results prove that the postpeak feature value has better performance than that of the traditional peak value in the case of reverse defect detection. In contrast, the peak value is better than the postpeak value in the case of surface defect detection. Experiment results also validate that the proposed classification algorithm has advantages: classification can be achieved in real time, the calculation process and results are easy to understand, and supervised training is unnecessary.
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spelling pubmed-73496992020-07-15 Defect Classification Using Postpeak Value for Pulsed Eddy-Current Technique Ge, Jiuhao Yang, Chenkai Wang, Ping Shi, Yongsheng Sensors (Basel) Letter In this paper, a feature termed as the postpeak value is proposed for the pulsed eddy current technique (PECT). Moreover, a method using the postpeak value is proposed to classify surface and reverse defects. A PECT system is built for verification purposes. Experiment results prove that the postpeak feature value has better performance than that of the traditional peak value in the case of reverse defect detection. In contrast, the peak value is better than the postpeak value in the case of surface defect detection. Experiment results also validate that the proposed classification algorithm has advantages: classification can be achieved in real time, the calculation process and results are easy to understand, and supervised training is unnecessary. MDPI 2020-06-16 /pmc/articles/PMC7349699/ /pubmed/32560050 http://dx.doi.org/10.3390/s20123390 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Letter
Ge, Jiuhao
Yang, Chenkai
Wang, Ping
Shi, Yongsheng
Defect Classification Using Postpeak Value for Pulsed Eddy-Current Technique
title Defect Classification Using Postpeak Value for Pulsed Eddy-Current Technique
title_full Defect Classification Using Postpeak Value for Pulsed Eddy-Current Technique
title_fullStr Defect Classification Using Postpeak Value for Pulsed Eddy-Current Technique
title_full_unstemmed Defect Classification Using Postpeak Value for Pulsed Eddy-Current Technique
title_short Defect Classification Using Postpeak Value for Pulsed Eddy-Current Technique
title_sort defect classification using postpeak value for pulsed eddy-current technique
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349699/
https://www.ncbi.nlm.nih.gov/pubmed/32560050
http://dx.doi.org/10.3390/s20123390
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AT shiyongsheng defectclassificationusingpostpeakvalueforpulsededdycurrenttechnique