Alexandre Mauricio

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

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

Domain Adaptation Digital Twin for Rolling Element Bearing Prognostics