Health assessment method of industrial robot reducer based on deep belief network

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	Health assessment method of industrial robot reducer based on deep belief network
	Ji CC(季成丞)2,3,4; Wang K(王锴)1,3,4; Yuan DC(袁德成)2
	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
内容类型	会议论文
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.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, 110142, China 3.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, 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.