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An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography
Zhu, Peipei1; Yin, Chun1; Cheng, Yuhua1; Huang, Xuegang2; Cao, Jiuwen3; Vong, Chi-Man4; Wong, Pak Kin5
2018-12
Source PublicationMECHANICAL SYSTEMS AND SIGNAL PROCESSING
ISSN0888-3270
Volume113Pages:5-21
Abstract

In this paper, an improved feature extraction algorithm in Eddy Current Pulsed Thermography (ECPT) is developed to realize automatic defect identification. The proposed feature extraction algorithm includes a data block segmentation, a variable interval search, a correlation value classification and a between-class distance decision function. The data block segmentation and variable interval search are firstly combined to reduce the repetitive calculation in automatic defect identification. The classification and between-class distance are used to select the typical features of thermographic sequence. The method is not only able to extract the main image information, but also can reduce the time of thermographic sequence processing to improve the detection efficiency. Experiments and comparisons are provided to demonstrate the capabilities and benefits (i.e. reducing the processing time) of the proposed algorithm in automatic defect identification. (C) 2017 Elsevier Ltd. All rights reserved.

KeywordEddy Current Pulsed Thermography Nondestructive Testing And Evaluation Transient Thermal Response Pearson Correlation Coefficient
DOI10.1016/j.ymssp.2017.02.045
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Mechanical
WOS IDWOS:000442066800002
PublisherACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Affiliation1.School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China
2.Hypervelocity Aerodynamics Institute, China Aerodynamics Research & Development Center, Mianyang 621000, PR China
3.Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang 310018, PR China
4.Department of Computer and Information Science, University of Macau, PR China
5.Department of Electromechanical Engineering, University of Macau, PR China
Recommended Citation
GB/T 7714
Zhu, Peipei,Yin, Chun,Cheng, Yuhua,et al. An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2018,113:5-21.
APA Zhu, Peipei.,Yin, Chun.,Cheng, Yuhua.,Huang, Xuegang.,Cao, Jiuwen.,...&Wong, Pak Kin.(2018).An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography.MECHANICAL SYSTEMS AND SIGNAL PROCESSING,113,5-21.
MLA Zhu, Peipei,et al."An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography".MECHANICAL SYSTEMS AND SIGNAL PROCESSING 113(2018):5-21.
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