Research Topic - Application of Machine Learning for Diagnosing Faults in Electrical Machines
Electrical motors form an integral part of any Electric Vehicle (EV). Most EV manufacturers currently prefer induction motors (IM) or permanent magnet synchronous motors (PMSM) as propulsion motors because the former offers low cost, ruggedness, and less maintenance. The latter offers high power density with high efficiency to permanent magnets. Any problem with the motor’s operation will have an impact on the entire EV. As a result, detecting faults at an early stage will allow us to avoid catastrophic damage to the propulsion motor, take appropriate preventive action, and reduce financial losses. Bearing and eccentricity (69%) are the most common faults in propulsion motors (IM or PMSM), followed by stator winding (21%), rotor (7%), and other faults (3%).
Department & Campus
Department of Electrical and Electronics Engineering, Coimbatore
Skillsets Preferred from Applicants
Basics of Electrical Machines and SIgnal Processing
Faculty Profile
Praveenkumar N.
Associate Professor (Sr. Gr.)), Electrical and Electronics Engineering, School of Engineering, Coimbatore.
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