Machine-Learning-Based Real-Time Photoacoustic Surface Crack Detection
Author:
Affiliation:
1. King Abdulaziz City for Science and Technology (KACST), Riyadh 12354, Saudi Arabia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/56/1/92/pdf
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2. A stochastic method based on the Markov Model of unit jump for analyzing crack jump in a material;Bouayoune;Int. J. Technol.,2017
3. Craig, R.R., and Kurdila, A.J. (2006). Fundamentals of Structural Dynamics, John Wiley & Sons.
4. Laser photothermal non-destructive inspection method for hairline crack detection in unsintered automotive parts: A statistical approach;Tolev;NDT Int.,2010
5. Lantz, G.A. (2011). Crack Detection Using a Passive Wireless Strain Sensor. [Ph.D. Thesis, Georgia Institute of Technology].
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