Rotate Vector Reducer Crankshaft Fault Diagnosis Using Acoustic Emission Techniques
文献类型：会议论文
| 作者 | 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)
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| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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