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Abnormal State Detection for Rolling Bearings Using DBSE Approach
Gui J(桂珺)1,2,3,4; Zheng ZY(郑泽宇)1,2; Zhao, Xuefeng1,2; Qin, Zhaobo4
Department数字工厂研究室
Conference Name5th IEEE International Conference on Computer and Communications, ICCC 2019
Conference DateDecember 6-9, 2019
Conference PlaceChengdu, China
Source Publication2019 IEEE 5th International Conference on Computer and Communications, ICCC 2019
PublisherIEEE
Publication PlaceNEW YORK
2019
Pages1366-1370
Indexed ByEI
EI Accession number20201808603081
Contribution Rank1
ISBN978-1-7281-4743-7
Keywordrolling bearing fault diagnosis distribution-based states extraction
AbstractRolling bearings play an important role in mechanical equipment. Abnormal state detection of rolling bearings is significant to avoid industrial accident. In this paper, we use Distribution-based States Extraction (DBSE) approach to detect and analyze the abnormal state of rolling bearings. We apply DBSE approach on three different datasets. Each dataset contains time series of horizon acceleration and vertical acceleration right before a specific fault of a rolling bearing. The results show that the DBSE is able to extract normal states and abnormal states before all three faults and effective for fault prediction. By analyzing statistical properties of two states for all three faults, we find distributions of acceleration data on two states are quite different. Further more, we find that standard deviations are more effective to describe features of different states than means of acceleration data. Our finding are great useful for abnormal detection and fault prediction.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/26756
Collection数字工厂研究室
Corresponding AuthorGui J(桂珺)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
Recommended Citation
GB/T 7714
Gui J,Zheng ZY,Zhao, Xuefeng,et al. Abnormal State Detection for Rolling Bearings Using DBSE Approach[C]. NEW YORK:IEEE,2019:1366-1370.
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