900 citations · 1.1k across the 5 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
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★ 2 cited
Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE
Shen Zhang, Shibo Zhang, Sufei Li +2
The optimization of electric machines at multiple operating points is crucial for applications that require frequent changes on speeds and loads, such as the electric vehicles, to…
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…