中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Retrogressive Analysis of Industrial Robot Rotate Vector Reducer Using Acoustic Emission Techniques

文献类型:会议论文

作者Li Y(李杨)2,3; Tan JD(谈金东)2,3,4; An HB(安海博)2,3; Liang W(梁炜)2,3; Zhang YL(张吟龙)2,3; Lu SY(鲁守银)1
出版日期2018
会议日期July 19-23, 2018
会议地点Tianjin, China
页码366-372
英文摘要With the rapid development of robot technology, industrial robots have been widely used in mechanical manufacturing industry and integrated circuit manufacturing industry, maintenance developed into an important work with industrial robot service time growth. Rotate Vector (RV) reducer as the key component is the main fault source of industrial robot, most abrasion occurred in this component, but there are few researches focused on RV reducer fault diagnosis. In rotating mechanical fault diagnosis, there are many ways to get signals to analyze the working condition, such as using vibration and temperature signal, but abrasion signals of RV reducer are weak comparing with these signals. So, Acoustic emission (AE) is a new attempt in this domain recent years. However, there have been little or no researches in RV fault diagnosis by AE techniques. In this study, we designed an experiment platform and introduce AE into rotate vector (RV) reducer fault diagnosis. To the best of our knowledge, we are the first to design a series of quantitative experiments to do the qualitative analysis. By analyzing the time domain signals in two different channels, the AE signal source is recognized. And then the signal characteristics that related to the working load and rotation speed are analyzed in detail. Experimental results show that retrogressive analysis is able to accurately and effectively predict the degradation trend of RV reducer and also could work out the remain useful life of RV reducer.
源文献作者IEEE Robotics & Automation Society
产权排序1
会议录Proceedings of 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-7056-9
源URL[http://ir.sia.cn/handle/173321/23835]  
专题沈阳自动化研究所_工业控制网络与系统研究室
作者单位1.School of Information & Elcetrical Engineering, Shandong Jianzhu University, Jinan, 250101, China
2.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academic of Science, Shenyang, 110016, China
3.University of Chinese Academy of Sciences, Beijing, 100049
4.Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, US
推荐引用方式
GB/T 7714
Li Y,Tan JD,An HB,et al. Retrogressive Analysis of Industrial Robot Rotate Vector Reducer Using Acoustic Emission Techniques[C]. 见:. Tianjin, China. July 19-23, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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