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Motor fault diagnosis method based on spiking convolutional neural network with multi-scale decomposition local features.

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第一作者： Gongping,Wu

第一单位： College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, PR China. Electronic address: gongping_wu@csust.edu.cn.

作者： Gongping,Wu ^[1] ; Zhiwen,Huang ^[2] ; Zhuo,Long ^[3] ; Fengqin,Huang ^[4] ; Ming-Hao,Wang ^[5] ; Xiaofei,Zhang ^[6]

作者单位： College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, PR China. Electronic address: gongping_wu@csust.edu.cn. ^[1] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, PR China. Electronic address: 23205071162@stu.csust.edu.cn. ^[2] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, PR China. Electronic address: longzhuo601@csust.edu.cn. ^[3] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, PR China. Electronic address: huangfengqin@csust.edu.cn. ^[4] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, PR China. Electronic address: cseemwong@163.com. ^[5] College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, PR China. Electronic address: zhangxiaofei@hnu.edu.cn. ^[6]

关键词 Batch Normalization Through Time (BNTT)Discrete Wavelet Transform (DWT)Motor diagnosis Spiking Convolutional Neural Network (SCNN)

DOI 10.1016/j.isatra.2025.05.035

PMID 40461303

发布时间 2025-08-08

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