most citedMeta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection

4 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture

Wenbin Song, Di Wu, Weiming Shen +1

Early fault detection (EFD) of rotating machines is important to decrease the maintenance cost and improve the mechanical system stability. One of the key points of EFD is developi…

cs.LG2022★ 4 cited

Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection

Wenbin Song, Di Wu, Weiming Shen +1

Early fault detection (EFD) of rolling bearings can recognize slight deviation of the health states and contribute to the stability of mechanical systems. In practice, very limited…