Identification of Defects in Pipelines Through a Combination of FEM and ANN

Author:

Soloviev A. N.,Nguen Giang D. T.,Vasiliev P. V.,Alexiev A. R.

Publisher

Springer International Publishing

Reference12 articles.

1. S. Haykin, Neural Networks: A Comprehensive Foundation (John Wiley & Sons, NY, 1999), p. 823

2. A.A. Krasnoshchekov, B.V. Sobol’, A.N. Soloviev, A.V. Cherpakov, Identification of defects crack-like defects in elastic structural elements on the basis of evolutionary algorithms. Russ. J. Non-destr. Testing 6, 67 (2011)

3. P.S. Kurbatova, N.I. Saprunov, A.N. Soloviev, Use of neural networks in the task of determining defects in elastic bodies. in Proceedings of X International Conference “Modern Problems of Continuum Mechanics” (Southern Federal University Press, Rostov-on-Don, 2006), p. 75 (in Russian)

4. X. Fang, H. Luo, J. Tang, Structural damage detection using neural network with learning rate improvement. Comput. Struct. 83(25), 2150 (2005)

5. V. Khandetsky, I. Antonyuk, Signal processing in defect detection using back-propagation neural networks. NDT and E Int. 35(7), 483 (2002)

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