An Explainable Artificial Intelligence Framework for Predictive Maintenance Using Hybrid Machine Learning and Multi-Task Transformer Models
An integrated explainable artificial intelligence (XAI) framework for predictive maintenance is proposed, focusing on failure prediction, Remaining Useful Life (RUL) estimation, and real-time asset monitoring. The framework is evaluated using a synthetically generated predictive maintenance data simulating 50 machines...