Estimation of reliability with cumulative stress and strength degradation

被引：5

作者：

Bhuyan, P. ^{[1
]}

Dewanji, A. ^{[1
]}

机构：

[1] Indian Stat Inst, Appl Stat Unit, Kolkata, India

来源：

STATISTICS | 2017年 / 51卷 / 04期

关键词：

Identifiability; Kaplan-Meier estimate; mechanistic model; parametric bootstrap; sampling plan; MODELS;

D O I：

10.1080/02331888.2016.1277224

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In many real-life scenarios, system reliability depends on dynamic stress-strength interference where strength degrades and stress accumulates concurrently over time. In this paper, we consider the problem of estimating reliability of a system under deterministic strength degradation and cumulative damage due to shocks arriving according to a point process. Maximum likelihood estimation under two different sampling plans has been considered. Large sample properties in general are discussed. The method is illustrated through simulation and real-life data analysis.

引用

页码：766 / 781

页数：16

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