Shvets O. Improvement of exploitation methods of pointwork electric motor parks by means of intelligent systems

In this paper, pointwork electric motor park exploitation methods are improved by means of intelligent systems. Developed procedures and automated technology provide electric motor (EM) park exploitation based on the parameters of the current technical state without removing EM from the drive by means of EM current spectral analysis. The task of choosing the optimal sequence of repairs to the EM park, taking into account current and expected states of devices, is formulated. EM monitoring and diagnosis methods are improved based on the intelligent system models. Fuzzy-statistical expert systems that take into account both expert and statistical information about the system technical state were used for EM diagnosis problem solution. Artificial neural network models like multilayer perceptron were improved to diagnose direct current motors. Based on Kohonen networks multilayer neural network models were developed for EM park exploitation planning.