Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach | |
Ding, Yu; Ma, Liang; Ma, Jian; Suo, Mingliang; Tao, Laifa; Cheng, Yujie; Lu, Chen | |
刊名 | Advanced Engineering Informatics |
2019 | |
卷号 | 42 |
ISSN号 | 14740346 |
DOI | 10.1016/j.aei.2019.100977 |
URL标识 | 查看原文 |
收录类别 | EI |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5915561 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Ding, Yu,Ma, Liang,Ma, Jian,et al. Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach[J]. Advanced Engineering Informatics,2019,42. |
APA | Ding, Yu.,Ma, Liang.,Ma, Jian.,Suo, Mingliang.,Tao, Laifa.,...&Lu, Chen.(2019).Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.Advanced Engineering Informatics,42. |
MLA | Ding, Yu,et al."Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach".Advanced Engineering Informatics 42(2019). |
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