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THE METHOD OF PREDICTING THE LEVEL OF EMERGENCY EQUIPMENT FOR CONTINUOUS CASTING STEEL ON THE BASIS OF MATHEMATICAL FUZZY LOGIC AND ARTIFICIAL NEURAL NETWORKS
Solovjova Olga Ivanovna
Cherepovets State University
post-graduate student
Cherepovets State University
post-graduate student
Abstract
A new method for predicting the technical condition of the equipment with the help of fuzzy and neural network algorithms on the example of metallurgical unit. This method can be used to address the organizational, technical and production problems in the field of industrial safety and effective planning of maintenance work.
Keywords: continuous casting machine, forecasting accident, fuzzy and neural network algorithms., safety of complex technical systems
Category: 05.00.00 Technical sciences
Article reference:
The method of predicting the level of emergency equipment for continuous casting steel on the basis of mathematical fuzzy logic and artificial neural networks // Modern scientific researches and innovations. 2013. № 10 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2013/10/26679
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