Health assessment method of industrial robot reducer based on deep belief network
文献类型：会议论文
| 作者 | Ji CC(季成丞)1,2,3; Wang K(王锴)1,2,4 ; Yuan DC(袁德成)3
|
| 出版日期 | 2021 |
| 会议日期 | July 27-31, 2021 |
| 会议地点 | Jiaxing, China |
| 页码 | 442-446 |
| 英文摘要 | Industrial robots are the most representative equipment in smart manufacturing system. Reducers, which are one of the key components of industrial robots, account for a significant portion of failures in industrial robots. It is thus important to evaluate health status of reducers during the operation of industrial robots. A deep-level probability directed graph model-Deep Belief Network (DBN) is used to assess health status for industrial robot reducer in this paper. First, in the pre-training stage of the deep belief network, the weights closer to the optimal are trained layer by layer through the Restricted Boltzmann Machine (RBM) from bottom to top. Secondly, in the fine-tuning stage of the deep belief network, the weights are tuned through the backpropagation algorithm. Finally, the deep belief network model is verified through experiments, which shows that the DBN has a high diagnosis accuracy for health assessment of industrial robot reducer. © 2021 IEEE. |
| 源文献作者 | IEEE Robotics and Automation Society ; Shenyang Institute of Automation CAS ; Shenzhen Academy of Robotics |
| 产权排序 | 1 |
| 会议录 | 2021 IEEE 11th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2021
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISSN号 | 2642-6633 |
| ISBN号 | 978-1-6654-2527-8 |
| 源URL | [http://ir.sia.cn/handle/173321/29937]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Ji CC(季成丞) |
| 作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 2.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China 3.College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, 110142, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Ji CC,Wang K,Yuan DC. Health assessment method of industrial robot reducer based on deep belief network[C]. 见:. Jiaxing, China. July 27-31, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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