A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Alex Kendall, Yarin Gal · arXiv (Cornell University) · 2017 · 2.5K citations · Full text

Computing, Computer Science, Computer Vision +16

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

Biao Wang, Yaguo Lei, Naipeng Li et al. · IEEE Transactions on Reliability · 2018 · 1.8K citations

Engineering, Data Science, Machine Learning +16

An Overview of Artificial Intelligence Applications for Power Electronics

Shuai Zhao, Frede Blaabjerg, Huai Wang · IEEE Transactions on Power Electronics · 2020 · 846 citations · Full text

Engineering, Computer Science, Electrical Engineering +14

THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALS

Robert B. Randall, Jérôme Antoni, S. Chobsaard · Mechanical Systems and Signal Processing · 2001 · 728 citations

Engineering, Electrical Engineering, Time Series Analysis +8

PRONOSTIA : An experimental platform for bearings accelerated degradation tests.

Patrick Nectoux, Rafael Gouriveau, Kamal Medjaher et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2012 · 692 citations

Engineering, Mechatronics Engineering, Condition Assessment +16