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Proceedings Paper

Study of quantitative identification of infrared thermal wave testing based on BP neural networks
Author(s): Zhang Wei; Liu Tao; Yangzheng Wei; Zhangrui Min
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Paper Abstract

In order to resolve the problem of quantitative identifying, in pulsed thermography, taking the highest temperature difference and the best testing time as input, and taking defect depth and diameter as output, made use of BP Neural Networks to achieve it, and it was done. According to result, when testing value was in area of swatch, identifying precision was high, and error is less than 3.5%. The feasibility of BP Neural Networks was validated, and it has very important meaning to quantitative identifying of factual application.

Paper Details

Date Published: 22 October 2010
PDF: 5 pages
Proc. SPIE 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, 76580Z (22 October 2010); doi: 10.1117/12.866394
Show Author Affiliations
Zhang Wei, Xi'an Hi-Tech Research Institute (China)
Liu Tao, Qinzhou City Tech Research Institute (China)
Yangzheng Wei, Xi'an Hi-Tech Research Institute (China)
Zhangrui Min, Qinzhou City Tech Research Institute (China)


Published in SPIE Proceedings Vol. 7658:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology
Yadong Jiang; Bernard Kippelen; Junsheng Yu, Editor(s)

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