A Hybrid Ensemble and Explainable AI Framework for Predictive Maintenance of Industrial Equipment

A modern industrial system with its critical machinery is very sensitive to unexpected equipment failure and may experience extensive operation interruption, danger to safety, and cost. The traditional maintenance approaches, reactive and preventative, lack intelligence and flexibility to make predictions of the failure based on real-time information, leading to failures that are expensive to fix or unnecessary maintenance. This paper proposes a hybrid ensemble predictive maintenance(PdM) framew