DEVELOPMENT OF ELECTRICAL FAILURE DETECTOR BASED ON ARTIFICIAL NEURAL NETWORK

In the article Based on theoretical studies in the field of energy resource utilization, the regulation of the work processes of textile enterprise machines, the methods of modern automatic control theory and economical operation modes characteristic of electrical systems, mathematical modeling through artificial neural networks, determination of energy consumption of electrical systems, and the simulation model of the control system for increasing energy efficiency have been developed. . On the basis of the model, the variable parameters of the electrical behavior were obtained based on the input signals of the artificial neural network.

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