Rotate Vector Reducer Crankshaft Fault Diagnosis Using Acoustic Emission Techniques
Liang W(梁炜); Zhang YL(张吟龙); Li Y(李杨); Liang Y(梁烨); Tan JD(谈金东); An HB(安海博)
2017
会议名称5th International Conference on Enterprise Systems, ES 2017
会议日期September 22-24, 2017
会议地点Beijing, China
关键词RV reducer crankshaft fault diagnosis acoustic emission
页码294-298
通讯作者An HB(安海博)
中文摘要Rotate Vector (RV) reducer is widely used in robotics because of its high precision and stiffness. However, the long-term operation leads to unpredictable reducer failures due to the inevitable abrasions of mechanical parts. To this end, this paper is intentionally designed to diagnose the RV reducer crankshaft abrasion faults using acoustic emission (AE) techniques. Firstly, the AE signal features with various speeds and workloads are extracted and analyzed in both time domain and frequency domain. Secondly, the crankshaft abrasion effects are qualitatively evaluated using these time-frequency features. Extensive experiments are conducted on our built RV reducer robotic platform. The experimental results prove that our method is able to effectively detect RV reducer crankshaft faults.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proceedings - 2017 5th International Conference on Enterprise Systems: Industrial Digitalization by Enterprise Systems, ES 2017
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号2572-6609
ISBN号978-1-5386-0937-8
WOS记录号WOS:000434642300048
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/21330]  
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.Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, United States
2.Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.Shenyang Institute of Automation, Chinese Academic of Sciences, Shenyang 110016, China
5.Key Laboratory of Networked Control Systems, Chinese Academic of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Liang W,Zhang YL,Li Y,et al. Rotate Vector Reducer Crankshaft Fault Diagnosis Using Acoustic Emission Techniques[C]. 见:5th International Conference on Enterprise Systems, ES 2017. Beijing, China. September 22-24, 2017.
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