Abstract:

As an indispensable driving equipment in modern industry, the stable operation of electric motors is crucial for production efficiency and safety. However, electric motors are often affected by load fluctuations during operation, which may lead to equipment failures and performance degradation. In order to improve the accuracy of motor fault prediction, this article will explore the application strategy of energy storage technology under motor load fluctuations. By collecting and analyzing operational data of electric motors, combined with the characteristics of energy storage technology, a series of fault prediction models and optimization methods have been proposed, aiming to achieve early warning and accurate prediction of electric motor faults.

Key words: electric motor, load fluctuation, fault prediction