Reliability Evaluation for Rolling Bearings with Small Sampling Based on Bayes Method
As to these bearings,whose outside diameter is large (d≥120),pricc 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 pes 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.
Bayes method Rolling bearing Small sampling Reliability assessment
Lou Hongliang Li Xinglin Zhuo Jizhi Zhang Yangping Zhang Yanliao Yu Zhonghua Zheng Qian
Postdoctoral Research Workstation of Hangzhou Bearing Test and Research Centre with assistance of UN Institute of Contemporary Manufacture Engineering Zhejiang University Hangzhou 310027,P.R.China
国际会议
2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)
成都
英文
1112-1114
2009-08-24（万方平台首次上网日期，不代表论文的发表时间）