Fault Diagnosis in a Motor Under Variable Speed Conditions: A Survey

The major reason for air pollution is burning a large amount of non-conventional fuel in vehicles. Today the demand for electric vehicles is flourishing. This expedition opens new possibilities in electric vehicle management and maintenance. The efficient condition monitoring of electric vehicles is essential to bring out the best performance and reliability. The majority of failures in electric vehicles occur due to faults in powertrain elements (Vas in Parameter estimation, condition monitoring, and diagnosis for electrical machines. Clarendon, Oxford, U.K., 1999). The induction motor is an essential component of the electric vehicle powertrain. Condition monitoring of the electric motor is essential for the smooth operation of electric vehicles. In the present work, a detailed review of the condition monitoring of induction motors is presented. The current study is devoted to fault diagnosis under variable speed conditions as the motor of an electric motor is subjected to variable speed. At first, the types and root causes of motor faults are described. The mathematical modeling for different fault conditions is discussed. Further, the fault diagnosis techniques based on signal processing and artificial intelligence are illustrated.