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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7349699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT gejiuhao defectclassificationusingpostpeakvalueforpulsededdycurrenttechnique AT yangchenkai defectclassificationusingpostpeakvalueforpulsededdycurrenttechnique AT wangping defectclassificationusingpostpeakvalueforpulsededdycurrenttechnique AT shiyongsheng defectclassificationusingpostpeakvalueforpulsededdycurrenttechnique |