Reliability Evaluation for Rolling Bearings with Small Sampling Based on Bayes Method

被引：0

作者：

Lou, Hongliang ^{[1
]}

Li, Xinglin ^{[1
]}

Zhuo, Jizhi ^{[1
]}

Zhang, Yangping ^{[1
]}

Zhang, Yanliao ^{[1
]}

Yu, Zhonghua ^{[2
]}

Zheng, Qian ^{[2
]}

机构：

[1] Test & Res Ctr Assistance UNDP UNIDO, Postdoctoral Res Workstn Hangzhou Bearing, Hangzhou 310022, Zhejiang, Peoples R China

[2] Zhejiang Univ, Inst Contemporary Mfg Engn, Hangzhou 310027, Peoples R China

来源：

PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT | 2009年

关键词：

Bayes method; Rolling bearing; Small sampling; Reliability assessment;

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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.

引用

页码：1112 / +

页数：2

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