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.
Fault Diagnosis in a Motor Under Variable Speed Conditions: A Survey
Mechan. Machine Science
International Conference on Vibration Engineering and Technology of Machinery ; 2021 ; Bangalore, India December 16, 2021 - December 18, 2021
2024-04-02
17 pages
Article/Chapter (Book)
Electronic Resource
English
Application of Order Analysis for Gear Fault Diagnosis under Variable Speed Conditions
British Library Conference Proceedings | 2015
|Application of Order Analysis for Gear Fault Diagnosis under Variable Speed Conditions
SAE Technical Papers | 2015
|Intelligent fault diagnosis for rotating machinery using L1/2-SF under variable rotational speed
SAGE Publications | 2021
|Rolling bearing fault diagnosis under variable conditions using LMD-SVD and extreme learning machine
Online Contents | 2015
|