900 citations · 947 across the 3 of their papers we have counts for
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cs.LG2019★ 30 cited
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
Shen Zhang, Fei Ye, Bingnan Wang +1
Most of the data-driven approaches applied to bearing fault diagnosis up to date are established in the supervised learning paradigm, which usually requires a large set of labeled…
cs.LG2019★ 900 cited
Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics -- A Comprehensive Review
Shen Zhang, Shibo Zhang, Bingnan Wang +1
In this survey paper, we systematically summarize existing literature on bearing fault diagnostics with machine learning (ML) and data mining techniques. While conventional ML meth…