Unsupervised Learning for Machinery Adaptive Fault Detection Using Wide-Deep Convolutional Autoencoder with Kernelized Attention Mechanism.

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第一作者： Hao,Yan

第一单位： State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.;School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

作者： Hao,Yan ^[1] ; Xiangfeng,Si ^[1] ; Jianqiang,Liang ^[1] ; Jian,Duan ^[1] ; Tielin,Shi ^[1]

作者单位： State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.;School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. ^[1]

关键词 adaptive thresholding auto-encoder kernelized attention machinery fault detection unsupervised feature learning

DOI 10.3390/s24248053

PMID 39771789

发布时间 2025-01-08

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