Variable Stiffness Actuators: Review on Design and Components Tập 21 Số 5 - Trang 2418-2430 - 2016
Sebastian Wolf, Giorgio Grioli, Oliver Eiberger, Werner Friedl, Markus Grebenstein, Hannes Höppner, Etienne Burdet, Darwin G. Caldwell, Raffaella Carloni, Manuel G. Catalano, Dirk Lefeber, Stefano Stramigioli, Nikos G. Tsagarakis, Michaël Van Damme, Ronald Van Ham, Bram Vanderborght, Ludo C. Visser, Antonio Bicchi, Alin Albu‐Schäffer
A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings Tập 25 Số 3 - Trang 1243-1254 - 2020
Cheng Cheng, Guijun Ma, Yong Zhang, Mingyang Sun, Fei Teng, Han Ding, Ye Yuan
In industrial applications, nearly half the failures of motors are caused by the degradation of rolling element bearings (REBs). Therefore, accurately estimating the remaining useful life (RUL) for REBs is of crucial importance to ensure the reliability and safety of mechanical systems. To tackle this challenge, model-based approaches are limited by the complexity of mathematical modeling. Convent...... hiện toàn bộ #Convolutional neural networks (CNNs) #Hilbert–Huang transform (HHT) #remaining useful life (RUL) estimation #rolling bearings