Degradation models and implied lifetime distributions

被引：129

作者：

Bae, Suk Joo

Kuo, Way

Kvam, Paul H. ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA

[2] Hanyang Univ, Dept Ind Engn, Seoul, South Korea

[3] Univ Tennessee, Dept Elect & Comp Engn, Knoxville, TN USA

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2007年 / 92卷 / 05期

基金：

美国国家科学基金会;

关键词：

additive model; bathtub and increasing failure rates; random effects; stochastic ordering;

D O I：

10.1016/j.ress.2006.02.002

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In experiments where failure times are sparse, degradation analysis is useful for the analysis of failure time distributions in reliability studies. This research investigates the link between a practitioner's selected degradation model and the resulting lifetime model. Simple additive and multiplicative models with single random effects are featured. Results show that seemingly innocuous assumptions of the degradation path create surprising restrictions on the lifetime distribution. These constraints are described in terms of failure rate and distribution classes. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：601 / 608

页数：8

共 16 条

[1] A nonlinear random-coefficients model for degradation testing [J].