| The Semaphore Identification and Fault Troubleshooting Modus for Spacecraft Originating from Deep Learning and RF Method | |
| Lan, Wei; He, Chun; Wang, Mingju; Li, Ke; Zhao, Zhijian | |
| 2019 | |
| 会议名称 | COGNITIVE SYSTEMS AND SIGNAL PROCESSING, PT II |
| 会议日期 | 2019-01-01 |
| 关键词 | Prognostic and health management Deep learning Data compression Signal identification Random-forest Deep belief network |
| 卷号 | 1006 |
| 页码 | 208-219 |
| 收录类别 | EI ; CPCI-S |
| URL标识 | 查看原文 |
| WOS记录号 | WOS:000490906400019 |
| 内容类型 | 会议论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/5918759 |
| 专题 | 北京航空航天大学 |
| 推荐引用方式 GB/T 7714 | Lan, Wei,He, Chun,Wang, Mingju,et al. The Semaphore Identification and Fault Troubleshooting Modus for Spacecraft Originating from Deep Learning and RF Method[C]. 见:COGNITIVE SYSTEMS AND SIGNAL PROCESSING, PT II. 2019-01-01. |
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