Reconstruction of Natural Crack Shapes from the ECT Signals by Using an Artificial Neural Networks Forward Model and an Optimization Approach

@article{Zhang2007ReconstructionON,
  title={Reconstruction of Natural Crack Shapes from the ECT Signals by Using an Artificial Neural Networks Forward Model and an Optimization Approach},
  author={Siquan Zhang and Tiequn Chen and Hefa Yang},
  journal={2007 International Conference on Mechatronics and Automation},
  year={2007},
  pages={276-281}
}
This paper presents work on a natural crack identification problem from eddy current testing (ECT) signals. ECT is a widely used in-service nondestructive testing (NDT) technique. A crucial problem in ECT is to inverse flaw profile from testing signals. Iterative inversion algorithms are commonly used to solve this problem. Typical iterative inversion… CONTINUE READING