Predictive maintenance for induction motors: a novel synergy of deep learning and machine learning techniques
Condition monitoring of induction motors is vital for preventing unexpected downtimes and minimizing the maintenance costs in industrial settings. A predictive maintenance model for early detection of faults is proposed. The motor current, flux, vibration, thermal and acoustic emission signatures are commonly used for...