Evaluation of Generalised Proportional Intensities Models with Application to the Maintenance of Gas Turbines

被引：3

作者：

Alkali, B. ^{[1
]}

机构：

[1] Glasgow Caledonian Univ, Dept Mech Elect & Environm Engn, Sch Engn & Built Environm, Glasgow G4 0BA, Lanark, Scotland

来源：

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 2012年 / 28卷 / 06期

关键词：

stochastic models; intensity function; repirable systems; log-likelihood; gas generators; HAZARDS MODEL;

D O I：

10.1002/qre.1410

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper generalised proportional intensities models are fitted to gas turbine generator failure and maintenance data. The systems of interest have identical maintenance procedures and information about preventive maintenance (PM) and corrective maintenance (CM) activities is known. Closed-form maximum log-likelihood estimates of the model parameters are evaluated, and the model goodness-of-fit is measured. A simulation study is conducted to determine an optimal cost effective PM schedule. Our analysis and results facilitate decision support for determining the cost-optimal maintenance strategy. Copyright (C) 2012 John Wiley & Sons, Ltd.

引用

页码：577 / 584

页数：8

共 12 条

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