doi: 10.7763/IJET.2013.V5.510
Application of Artificial Intelligence Techniques for Detection of Cracks-A Review
D. N. Thatoi
,
A. A. Ojha
,
A. Bhanjadeo
,
R. Mahapatra
,
S. Sahoo
,
S. Mohapatra
- S„O‟A University, Department of Mechanical Engineering, I. T. E. R., Bhubaneswar, Odisha
Abstract
Detection of cracks using vibration analysis employs different algorithms out of which artificial intelligence (AI) techniques is drawing a lot of attention of the engineers and scientists. This paper presents a comprehensive review of various AI techniques for determining the location, size and depth of cracks in different structures. The techniques mainly consist of fuzzy interference technique, neural network (NN), genetic algorithm (GA), hybrid models and other optimization algorithms.
Keywords
- Genetic
- hybrid models
- neural network
- swarm optimization
How to Cite
D. N. Thatoi, A. A. Ojha, A. Bhanjadeo, R. Mahapatra, S. Sahoo, and S. Mohapatra, "Application of Artificial Intelligence Techniques for Detection of Cracks-A Review," International Journal of Engineering and Technology, vol. 5, no. 1, pp. 57-59, 2013. https://doi.org/ 10.7763/IJET.2013.V5.510
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).