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Journal Neurocomputers №11 for 2014 г.
Article in number:
Neural method of the surface microstructure damage evaluating for the metals and alloys residual life prediction
Keywords: neural network the metal microstructure image the surface damage images pre-processing
Authors:
О. V. Andreeva - Assiatant, Nizhniy Novgorod State Technical University n.a. R.E. Alekseev. E-mail: andreevaov@gmail.com
D. V. Dmitriev - Ph.D. (Eng.), Associate Professor, Nizhniy Novgorod State Technical University n.a. R.E. Alekseev. E-mail: dmitdmit@mail.ru V. V. Andreev - Dr.Sc. (Eng.), Associate Professor, Head of Department, Nizhniy Novgorod State Technical University n.a. R.E. Alekseev. E-mail: vyach.andreev@mail.ru
Abstract:
The problems that hinder the widespread use of methods of the residual life prediction for the machine details and constructions, based on a quantitative assessment the degree of damage the surface microstructure of metals and alloys, were considered. The algorithm of neural method for the metals and alloys residual life prediction, using automated image processing of microstructure surface, was proposed. This algorithm is based on the singular points that were allocated from the injured surface of the microstructure. This algorithm can improve the accuracy and objectivity of the resource characteristics of metals and alloys.
Pages: 68-71
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