Semi-random subspace with Bi-GRU: Fusing statistical and deep representation features for bearing fault diagnosis

XuTing Mao,Feng Zhang,Gang Wang,Yan Chu, KaiFu Yuan

Measurement（2021）

引用 21|浏览10

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摘要

•Statistical and deep representation features have widely used.•SRS-BG is proposed for fault diagnosis of rolling bearings.•Experiments validate that SRS-BG outperforms other methods.

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关键词

Bearing fault diagnosis,Gate Recurrent Unit,Sparsity learning,Ensemble learning,Fusion features

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