SIA OpenIR  > 工业控制网络与系统研究室
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)
Department工业控制网络与系统研究室
Conference Name5th International Conference on Enterprise Systems, ES 2017
Conference DateSeptember 22-24, 2017
Conference PlaceBeijing, China
Source PublicationProceedings - 2017 5th International Conference on Enterprise Systems: Industrial Digitalization by Enterprise Systems, ES 2017
PublisherIEEE
Publication PlaceNew York
2017
Pages294-298
Indexed ByEI ; CPCI(ISTP)
EI Accession number20180604774833
WOS IDWOS:000434642300048
Contribution Rank1
ISSN2572-6609
ISBN978-1-5386-0937-8
KeywordRv Reducer Crankshaft Fault Diagnosis Acoustic Emission
Abstract

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.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/21330
Collection工业控制网络与系统研究室
Corresponding AuthorAn HB(安海博)
Affiliation1.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
Recommended Citation
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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