M. Ahmed

Intelligent Fault Diagnosis and Maintenance Decision Support in Electrical Induction Generators Using Multi-CNN Extreme Ensemble Learning

Electrical induction generators are vulnerable to winding faults that can degrade operational reliability and lead to unplanned maintenance. This study proposes a multiple-convolutional neural network (Multi-CNN) extreme ensemble learning framework for intelligent fault diagnosis and maintenance decision support using...