Reliability Calculation of Product Failure Data (Part II : Experiment)

被引:0
作者
Xia, Xintao [1 ]
Li, Yunfei [1 ]
Chang, Zhen [1 ]
Liu, Bin [1 ]
Ye, Liang [1 ]
机构
[1] Henan Univ Sci & Technol, Mechatron Engn Coll, Luoyang 471003, Peoples R China
来源
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON SENSOR NETWORK AND COMPUTER ENGINEERING | 2016年 / 68卷
关键词
Rolling bearing; Failure data; K-s hypothesis testing; Standard deviation; Reliability;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
On the reliability of failure data, this paper provides wide ranges of theoretical method, and determines the effectiveness of those methods about rolling bearing. Under the reference standard based on the empirical value of medium rank, the veracity about those methods apply to rolling bearing would be determined with the k-s hypothesis testing, and there have a contrastive analysis between the reliabilities and empirical values about different methods, then estimates those methods. For the result of this paper, the veracity of lognormal distribution (L) and Weibull distribution (W) has a great unsteadiness. However, the maximum entropy probability distribution (M) could reply any confirmable distributions, and be suitable for poor information as unknown as the probability distribution, apriori information and trend term. Therefore, the maximum entropy probability distribution has a better applicability for the problem of rolling bearing's reliability on failure data.
引用
收藏
页码:428 / 432
页数:5
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