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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongliang Lou Xinglin Li Jizhi Zhuo Yangping Zhang Yanliao Zhang Zhonghua Yu Qian Zheng |
| Copyright Year | 2009 |
| Description | Author affiliation: Postdoctoral Research Workstation of Hangzhou Bearing Test and Research Centre with assistance of UNDP/UNIDO, Hangzhou, 310022, China (Hongliang Lou; Xinglin Li; Jizhi Zhuo; Yangping Zhang; Yanliao Zhang) || Institute of Contemporary Manufacture Engineering Zhejiang University Hangzhou, 310027, China (Zhonghua Yu; Qian Zheng) |
| Abstract | As to these bearings, whose outside diameter is large (d≥120), price is high, and life is long, the number of samples chosen is small in order to save sample quantity and test cost, not according to the standard. There are a lot of users to choose the bearings less than 8 pcs to test the life for comparing the different bearings quality. According to the trait of rolling bearing submitting to Weibull distribution and test data, this paper adopts no information prior distribution based on Bayes method, and presents point estimation of shape parameter and reliability, interval estimation of shape parameter, reliability, reliability life and mean life. This paper provides an available method for quantitative assessment of bearing reliability in terms of small sampling. |
| Starting Page | 1112 |
| Ending Page | 1114 |
| File Size | 1070901 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424449033 |
| DOI | 10.1109/ICRMS.2009.5270055 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Parameter estimation Shape Life testing Bayes method Small sampling Reliability assessment Rolling bearing Rolling bearings Life estimation Sampling methods Workstations Weibull distribution Personal communication networks |
| Content Type | Text |
| Resource Type | Article |
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