Review of Fault Detection Methods in Three-Phase Induction Motors Employed Techniques

Abstract

In this article, we have examined the major causes of failure that occur within three-phase induction motors. The factors contributing to this loss of efficiency and increased downtime are both electrical (i.e. stator winding short circuits, broken rotor bars) and mechanical (i.e., bearing problems, misalignment). We have compared existing methods of detecting faults, including insulation resistance testing, current and vibration analysis, acoustic monitoring and thermal monitoring, magnetic flux analysis based upon their ability to give accurate results regarding costs associated with establishing accurate early detection of faults. The limitations of conventional methods for identifying electrical and mechanical faults have been identified within this study as well as an indication that utilizing intelligent systems (e.g., artificial intelligence and machine learning) can result in faster diagnosis of faults and better predictions for the maintenance of these motors. Finally, paper suggested using a hybrid approach to diagnostics by combining traditional techniques and intelligent approaches to enhance performance at detecting faults and improving the reliability of motors.