An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Status	已發表Published
	An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography
	Zhu, P.; Yin, C.; Cheng, Y.; Huang, X.; Cao, J.; Vong, C. M.; Wong, P. K.
	2018-12-01
Source Publication	Mechanical Systems and Signal Processing (SCI-E)
ISSN	0888-3270
Pages	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 the data block segmentation, the variable interval search, the correlation value classification and the 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 comparison results are provided to demonstrate the capabilities and benefits (i.e. reducing the processing time) of the proposed algorithm in automatic defect identification.
Keyword	Eddy current pulsed thermography Nondestructive testing and evaluation Transient thermal response Pearson correlation coefficient
Language	英語English
The Source to Article	PB_Publication
PUB ID	28745
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Cao, J.
Recommended Citation GB/T 7714	Zhu, P.,Yin, C.,Cheng, Y.,et al. An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography[J]. Mechanical Systems and Signal Processing (SCI-E), 2018, 5-21.
APA	Zhu, P.., Yin, C.., Cheng, Y.., Huang, X.., Cao, J.., Vong, C. M.., & Wong, P. K. (2018). An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography. Mechanical Systems and Signal Processing (SCI-E), 5-21.
MLA	Zhu, P.,et al."An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography".Mechanical Systems and Signal Processing (SCI-E) (2018):5-21.

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