Defect Detection in Composite Products Based on Sparse Moving Window Principal Component Thermography
Joint Authors
Zhou, Le
Hou, Beiping
Jie, Jing
Dai, Shiqing
Zhang, Miao
Source
Advances in Polymer Technology
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-07
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
As a nondestructive testing (NDT) technology, pulsed thermography (PT) has been widely used in the defect detection of the composite products due to its efficiency and large detection range.
To enhance the distinction between defective and defect-free region and eliminate the influence of the measurement noise and nonuniform background of the thermal image generated by PT, a number of thermographic data analysis approaches have been proposed.
However, these traditional methods only consider the correlations among the pixel while leave the time series correlations unmodeled.
In this paper, a sparse moving window principal component thermography (SMWPCT) method is proposed to incorporate several thermal images using the moving window strategy.
Also, the sparse trick is used to provide clearer and more interpretable results because of the structure sparsity.
The effectiveness of the method is verified by the defect detection experiment of carbon fiber-reinforced plastic specimens.
American Psychological Association (APA)
Jie, Jing& Dai, Shiqing& Hou, Beiping& Zhang, Miao& Zhou, Le. 2020. Defect Detection in Composite Products Based on Sparse Moving Window Principal Component Thermography. Advances in Polymer Technology،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1130257
Modern Language Association (MLA)
Jie, Jing…[et al.]. Defect Detection in Composite Products Based on Sparse Moving Window Principal Component Thermography. Advances in Polymer Technology No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1130257
American Medical Association (AMA)
Jie, Jing& Dai, Shiqing& Hou, Beiping& Zhang, Miao& Zhou, Le. Defect Detection in Composite Products Based on Sparse Moving Window Principal Component Thermography. Advances in Polymer Technology. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1130257
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130257