Equipment Failure Forecasting Based on Past Failure Performance and Development of Replacement Strategies

被引：3

作者：

Begovic, Miroslav ^{[1
]}

Perkel, Joshua ^{[1
]}

Hartlein, Rick ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

TRANSACTIONS ON ELECTRICAL AND ELECTRONIC MATERIALS | 2006年 / 7卷 / 05期

关键词：

Falure prediction; Weibull distribution; Replacement scheduling;

D O I：

10.4313/TEEM.2006.7.5.217

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

When only partial information is available about equipment failures (installation date and amount, as well as failure and replacement rates), data on sufficiently large number of yearly populations of the components can be combined, and estimation of model parameters may be possible. The parametric models may then be used for forecasting of the system's short term future failure and for formulation of replacement strategies. We employ the Weibull distribution and show how we estimate its parameters from past failure data. Using Monte Carlo simulations, it is possible to assess confidence ranges of the forecasted component performance data.

引用

页码：217 / 223

页数：7

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