Developing Algorithms to Improve Defect Extraction and Suppressing Undesired Heat Patterns in Sonic IR Images
Author:
Funder
Wayne State University
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://link.springer.com/content/pdf/10.1007/s11220-016-0148-1.pdf
Reference19 articles.
1. Favro, L., Han, X., Ouyang, Z., Sun, G., Sui, H., & Thomas, R. (2000). Infrared imaging of defects heated by a sonic pulse. Review of Scientific Instruments, 71(6), 2418–2421.
2. Favro, L., Thomas, R., Han, X., Ouyang, Z., Newaz, G., & Gentile, D. (2001). Sonic infrared imaging of fatigue cracks. International Journal of Fatigue, 23, 471–476.
3. Han, X., Favro, L., Ouyang, Z., & Thomas, R. (2001). Thermosonics: Detecting cracks and adhesion defects using ultrasonic excitation and infrared imaging. The Journal of Adhesion, 76(2), 151–162.
4. Han, X., Favro, L., Ouyang, Z., & Thomas, R. (2003). Sonic IR imaging and vibration pattern studies of cracks in an engine disk. Review of Progress in Quantitative Nondestructive Evaluation, 657(22), 513–516.
5. Han, X., Lu, J., Islam, M. S., Li, W., Zeng, Z., Kashyap, N., et al. (2005). Developing sonic IR imaging NDE for aircraft structures. Review of Progress in Quantitative Nondestructive Evaluation, 760(1), 632–636.
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