Neural network forecast of leak current based on technological parameters
DOI:
https://doi.org/10.31548/energiya2022.03.109Abstract
One the effective technical methods of monitoring the condition electric motors is a means of measuring and controlling the amount leakage current, which characterizes the state of insulation of the electric motor. The use of more advanced devices that can not only record but also predict the achievement dangerous values leakage current, makes it possible to warn and inform in advance about the possible danger to staff, reduce downtime and allows maintenance, repair or replacement motors in the technological pause without waiting for their complete rejection. The neural networks used to predict the reliability electric motors have the form a mathematical model of parallel computing, which consists simple processor elements that interact with each other and are called artificial neurons.
The purpose of the study is to synthesize the neural network on the basis selected technological parameters and check its technological acceptability for predicting the leakage current of the motor.
The synthesized neural network according to the technological parameters should be the basis for building a system for predicting the leakage current of the electric motor according to the technological parameters. The prediction system based on the neural network on technological parameters also includes means of measuring technological parameters, parameters of motor operation and database. The key decision in such a system is made by man.
Key words: leakage current, technological parameters, neural network
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