Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method | |
An, Zenghui; Li, Shunming; Wang, Jinrui; Xin, Yu; Xu, Kun | |
刊名 | NEUROCOMPUTING
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2019 | |
卷号 | 352页码:42-53 |
关键词 | Fault diagnosis Domain adaptation Kernel method Maximum mean discrepancy |
DOI | 10.1016/j.neucom.2019.04.010 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4547024 |
专题 | 山东大学 |
作者单位 | 1.Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing, Jiangsu, Peoples R China. 2.[Wang |
推荐引用方式 GB/T 7714 | An, Zenghui,Li, Shunming,Wang, Jinrui,et al. Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method[J]. NEUROCOMPUTING,2019,352:42-53. |
APA | An, Zenghui,Li, Shunming,Wang, Jinrui,Xin, Yu,&Xu, Kun.(2019).Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method.NEUROCOMPUTING,352,42-53. |
MLA | An, Zenghui,et al."Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method".NEUROCOMPUTING 352(2019):42-53. |
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