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Rotate Vector Reducer Crankshaft Fault Diagnosis Using Acoustic Emission Techniques
An HB(安海博); Liang W(梁炜); Zhang YL(张吟龙); Li Y(李杨); Liang Y(梁烨); Tan JD(谈金东)
作者部门工业控制网络与系统研究室
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
会议录名称Proceedings - 2017 5th International Conference on Enterprise Systems: Industrial Digitalization by Enterprise Systems, ES 2017
出版者IEEE
出版地New York
2017
页码294-298
收录类别EI ; CPCI(ISTP)
EI收录号20180604774833
WOS记录号WOS:000434642300048
产权排序1
ISSN号2572-6609
ISBN号978-1-5386-0937-8
关键词Rv Reducer Crankshaft Fault Diagnosis Acoustic Emission
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.

语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/21330
专题工业控制网络与系统研究室
通讯作者An HB(安海博)
作者单位1.Key Laboratory of Networked Control Systems, Chinese Academic of Sciences, Shenyang 110016, China
2.Shenyang Institute of Automation, Chinese Academic of Sciences, Shenyang 110016, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China
5.Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, United States
推荐引用方式
GB/T 7714
An HB,Liang W,Zhang YL,et al. Rotate Vector Reducer Crankshaft Fault Diagnosis Using Acoustic Emission Techniques[C]. New York:IEEE,2017:294-298.
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