A Trustworthy Framework for Condition Monitoring and Remaining Useful Life Prediction of Rotating Machinery
A trustworthy AI-driven framework for condition monitoring and Remaining Useful Life (RUL) prediction of rotating machinery in smart manufacturing environments that integrates multi-sensor condition monitoring with machine learning and deep learning models for intelligent fault diagnosis and prognostics is presented.