Reliability prediction for condition-based maintained systems

被引：46

作者：

Saranga, H ^{[1
]}

Knezevic, J

机构：

[1] Univ Exeter, Ctr Management Ind Reliabil Cost & Effectiveness, Exeter EX4 4QF, Devon, England

[2] Mirce Akad, Exeter EX2 7YX, Devon, England

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2001年 / 71卷 / 02期

关键词：

relevant condition predictor; RCP-based maintenance; condition monitoring techniques; degradation; Markov process; numerical approximation;

D O I：

10.1016/S0951-8320(00)00094-6

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper presents a methodology based on relevant condition predictor (RCP) for reliability prediction for systems under condition-based maintenance. By considering the event of not being able to recognise the fault initiation or the critical state in RCP-based maintenance, the methodology uses Markov models for reliability prediction. The cases of single and multiple relevant condition predictors are presented along with a numerical procedure to obtain the reliability functions for RCP-based maintained systems. Numerical examples are used to illustrate the methodology and the values of reliability are obtained at discrete time points using the numerical algorithm. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：219 / 224

页数：6