Identification of crack-like defects in elastic structural elements on the basis of evolution algorithms

作者:Krasnoshchekov A A*; Sobol' B V; Solov'ev A N; Cherpakov A V
来源:Russian Journal of Nondestructive Testing, 2011, 47(6): 412-419.
DOI:10.1134/S1061830911060088

摘要

A method for the identification of defects in elastic structural elements (SEs) on the basis of artificial neural network (ANN) tools was proposed. The problems of constructing a simulation model of an object, the optimal arrangement of transducers with the use of a genetic algorithm, and the subsequent identification of a defect were solved. The application of different learning architectures and algorithms to feed-forward neural networks (FFNs) was studied and the influence of errors on the estimation accuracy of the parameters of a defect was analyzed.

  • 出版日期2011-6

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