The prediction of the residual life of electromechanical equipment based on the artificial neural network

[摘要] This article is devoted to the prediction of the residual life based on an estimate of the technical state of the induction motor. The proposed system allows to increase the accuracy and completeness of diagnostics by using an artificial neural network (ANN), and also identify and predict faulty states of an electrical equipment in dynamics. The results of the proposed system for estimation the technical condition are probability technical state diagrams and a quantitative evaluation of the residual life, taking into account electrical, vibrational, indirect parameters and detected defects. Based on the evaluation of the technical condition and the prediction of the residual life, a decision is made to change the control of the operating and maintenance modes of the electric motors.

[发布机构] St. Petersburg Mining University, 2, 21 Line of Vasilyevsky Island, St. Petersburg; 199106, Russia^1

[效力级别] 电工学

[关键词] Electrical equipment;Electromechanical equipments;Quantitative evaluation;Residual life;Technical conditions;Technical state