Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks | |
Zhao Rui; Yan Ruqiang; Wang Jinjiang; Mao Kezhi | |
刊名 | SENSORS |
2017 | |
卷号 | 17 |
关键词 | machine health monitoring tool wear prediction convolutional neural network recurrent neural network bi-directional long-short term memory network |
ISSN号 | 1424-8220 |
DOI | 10.3390/s17020273 |
URL标识 | 查看原文 |
收录类别 | SCIE ; EI ; PUBMED |
WOS记录号 | WOS:000395482700057 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/6264933 |
专题 | 中国石油大学(北京) |
推荐引用方式 GB/T 7714 | Zhao Rui,Yan Ruqiang,Wang Jinjiang,et al. Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks[J]. SENSORS,2017,17. |
APA | Zhao Rui,Yan Ruqiang,Wang Jinjiang,&Mao Kezhi.(2017).Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks.SENSORS,17. |
MLA | Zhao Rui,et al."Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks".SENSORS 17(2017). |
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