Bootstrap and Maximum Entropy Based Small-sample Product Lifetime Probability Distribution

被引：6

作者：

Suo, Hailong ^{[1
]}

Gao, Jianmin ^{[1
]}

Gao, Zhiyong ^{[1
]}

Jiang, Hongqvan ^{[1
]}

Wang, Rongxi ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, State Key Lab Mfg Sysy Engn, Xian 710049, Shaanxi, Peoples R China

来源：

IFAC PAPERSONLINE | 2015年 / 48卷 / 03期

关键词：

bootstrap; maximum entropy; nonlinear programming; small sample; probability density function;

D O I：

10.1016/j.ifacol.2015.06.084

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

How to build the small-sample data distribution is a major issue to be addressed for analyzing large power equipment lifetime. To find a better product lifetime probability distribution function, a new method based on bootstrap and maximum entropy is proposed to study on the problem of small-sample product life probability distribution The result shows that this new method is more accurate and feasible compared with bootstrap and maximum entropy respectiliely. Finally an actual example of small-sample product lifetime distribution shows that this new approach has better guiding significance for practice. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：219 / 224

页数：6

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