CREATION OF INTELLIGENT BLOCK OF NEURAL NETWORK PREDICTION LEAKAGE CURRENT VALUES

Abstract

Means of monitoring the magnitude the leakage current have proven themselves as an effective technical method monitoring the state of the insulation the electric motor. The use of technical means that allow not only to fix, but also to predict the dangerous values the leakage current, make it possible to inform the service personnel about the possible danger in advance. Thanks to this, the time for simple electrical equipment is reduced and it becomes possible to carry out maintenance, repair or replacement electric motors during a technological pause without waiting for their complete failure. The use of neural networks for predicting the reliability of electric motors has proven to be effective for predicting these complex processes. Based on the data conducted passive experiment, two neural networks were synthesized. A comparison the operating features a neural network based on technological parameters and a neural network based on the theory of time series forecasting indicates the need to combine them to obtain a better forecast the leakage current value. This led to the need to create a selection criterion and synthesize a hybrid neural network that will work according to this criterion.