104 citations · 116 across the 6 of their papers we have counts for
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cs.LG2023★ 4 cited
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Peng Peng, Hanrong Zhang, Mengxuan Li +3
Intelligent fault diagnosis has made extraordinary advancements currently. Nonetheless, few works tackle class-incremental learning for fault diagnosis under limited fault data, i.…
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…