MATHEMATICAL MODELING AND INTEGRATION OF ELECTROMAGNETIC TESTING METHODS FOR EVALUATING THE TECHNICAL CONDITION OF ELECTRIC MOTORS

Abstract

Electric motors are critical components in various industrial and commercial applications, and ensuring their reliable operation is essential for productivity and cost efficiency. This paper explores the integration of mathematical modeling and electromagnetic testing methods to evaluate the technical condition of electric motors. By combining theoretical and experimental approaches, the proposed methodology enhances the accuracy and reliability of diagnostics. Case studies demonstrate the practical benefits of this integrated approach in identifying motor faults and improving maintenance strategies.