Bruno Ribeiro

A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities

Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach

Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery