An IoT-based System for Early Fault Detection and Predictive Maintenance in Induction Motors with Interpretable Generalized Additive Neural Networks
The proposed IoT-MDS-EDFIM-IGANN framework is efficient, accurate, and cost-effective solution for induction motor fault diagnosis and combines advanced preprocessing, class balancing, feature extraction, and optimization to achieve reliable predictive maintenance and promote operational reliability of industrial induc...