Engineering Commons^™

Rotor Bar Fault Monitoring Method Based On Analysis Of Air-Gap Torques Of Induction Motors, Aderiano Da Silva, Nabeel Demerdash, Richard James Povinelli

Electrical and Computer Engineering Faculty Research and Publications

A robust method to monitor the operating conditions of induction motors is presented. This method utilizes the data analysis of the air-gap torque profile in conjunction with a Bayesian classifier to determine the operating condition of an induction motor as either healthy or faulty. This method is trained offline with datasets generated either from an induction motor modeled by a time-stepping finite-element (TSFE) method or experimental data. This method can effectively monitor the operating conditions of induction motors that are different in frame/class, ratings, or design from the motor used in the training stage. Such differences can include the level …