Inter-Turn Fault Diagnosis in Inverter-Fed Induction Motors via MVMD-Based Signal Processing and Machine Learning
This paper presents a machine learning-based approach for the detection of interturn faults in inverter-fed induction motors (IM). An interturn fault in the stator winding is a severe fault that is hard to identify at an early stage because of the switching harmonics and non-sinusoidal excitation. This work proposes a...