Multiple fault separation and detection by joint subspace learning for the health assessment of wind turbine gearboxes | |
Du, Zhaohui; Chen, Xuefeng; Zhang, Han; Zi, Yanyang; Yan, Ruqiang | |
刊名 | Frontiers of Mechanical Engineering |
2017 | |
卷号 | 12页码:333-347 |
关键词 | coupling feature separation joint subspace learning multiple fault diagnosis sparse decomposition theory wind turbine gearbox |
ISSN号 | 2095-0241 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2942334 |
专题 | 西安交通大学 |
推荐引用方式 GB/T 7714 | Du, Zhaohui,Chen, Xuefeng,Zhang, Han,et al. Multiple fault separation and detection by joint subspace learning for the health assessment of wind turbine gearboxes[J]. Frontiers of Mechanical Engineering,2017,12:333-347. |
APA | Du, Zhaohui,Chen, Xuefeng,Zhang, Han,Zi, Yanyang,&Yan, Ruqiang.(2017).Multiple fault separation and detection by joint subspace learning for the health assessment of wind turbine gearboxes.Frontiers of Mechanical Engineering,12,333-347. |
MLA | Du, Zhaohui,et al."Multiple fault separation and detection by joint subspace learning for the health assessment of wind turbine gearboxes".Frontiers of Mechanical Engineering 12(2017):333-347. |
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