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Conference Aug 2026

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...

Harini Muthusamy, N. S, N. Basha et al. · 0 citations

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