Technical diagnostics of electric machines using artificial neural networks

Currently, in industries where the continuity of the technological process is crucial, much attention is paid to improving the reliability of equipment. In industrial enterprises, almost all equipment is powered by electric motors, therefore, to ensure stable operation, it is necessary to regularly monitor the current condition of electric motors and equipment connected to them. This article discusses the possibility of using artificial neural networks in systems for monitoring and evaluating the technical condition of electric motors that drive mechanisms and aggregates in various industries. The advantages and prospects of using this type of diagnosis are also discussed.