A deep learning-based method for machinery health monitoring with big data | |
Lei, Yaguo; Jia, Feng; Zhou, Xin; Lin, Jing | |
刊名 | Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
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2015 | |
卷号 | 51期号:[db:dc_citation_issue]页码:49-56 |
关键词 | Condition monitoring systems Fault diagnosis method Gear transmission system Identification accuracy Intelligent diagnosis methods Learning Theory Machinery Health Monitoring Signal processing technique |
ISSN号 | 0577-6686 |
DOI | [db:dc_identifier_doi] |
URL标识 | 查看原文 |
WOS记录号 | [DB:DC_IDENTIFIER_WOSID] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3259563 |
专题 | 西安交通大学 |
推荐引用方式 GB/T 7714 | Lei, Yaguo,Jia, Feng,Zhou, Xin,et al. A deep learning-based method for machinery health monitoring with big data[J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering,2015,51([db:dc_citation_issue]):49-56. |
APA | Lei, Yaguo,Jia, Feng,Zhou, Xin,&Lin, Jing.(2015).A deep learning-based method for machinery health monitoring with big data.Jixie Gongcheng Xuebao/Journal of Mechanical Engineering,51([db:dc_citation_issue]),49-56. |
MLA | Lei, Yaguo,et al."A deep learning-based method for machinery health monitoring with big data".Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 51.[db:dc_citation_issue](2015):49-56. |
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