Feature Detection of GFRP Subsurface Defects Using Fast Randomized Sparse Principal Component Thermography-Reference-Cited by-同舟云学术

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Feature Detection of GFRP Subsurface Defects Using Fast Randomized Sparse Principal Component Thermography

Published:2022-09-01 Issue:10 Volume:43 Page:
ISSN:0195-928X
Container-title:International Journal of Thermophysics
language:en
Short-container-title:Int J Thermophys

Author:

Shen Peng,Luo Zhitao,Wang Sheng,Mao Feilong,Su Zihao,Zhang Hui

Funder

National Natural Science Foundation of China

Technical Security Project of China Market Supervision Administration in 2022

Jiangsu Provincial Key Research and Development Program

Scientific Research Foundation of the Graduate School of Southeast University

Publisher

Springer Science and Business Media LLC

Subject

Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s10765-022-03076-z.pdf

Reference67 articles.

1. F. Wang, J. Liu, O. Mohummad, Y. Wang, Int. J. Thermophys. 39, 49 (2018)

2. D. Palumbo, P. Cavallo, U. Galietti, NDT & E Int. 102, 254–263 (2019)

3. C. Meola, G.M. Carlomagno, Compos. Pt. A-Appl. Sci. Manuf. 41, 1839–1847 (2010)

4. R. Montanini, F. Freni, Compos. Pt. A-Appl. Sci. Manuf. 43, 2075–2082 (2012)

5. C. Maierhofer, M.R. Llig, M. Gower, M. Lodeiro, G. Baker, C. Monte, A. Adibekyan, B. Gutschwager, L. Knazowicka, A. Blahut, Int. J. Thermophys. 39, 61 (2018)

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