Javier Díaz-Rozo

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions

Remaining useful life estimation of ball-bearings based on motor current signature analysis

Machine Learning-based CPS for Clustering High throughput Machining Cycle Conditions