The Optimization Analysis of Equipment Maintenance based on Monte-Carlo Simulation

被引：1

作者：

Geng, DAi ^{[1
]}

Zhang, Shimin ^{[1
]}

Wang, Deguo ^{[1
]}

Gao, Jian ^{[1
]}

Dai, Lisha ^{[1
]}

机构：

[1] China Univ Petr, Coll Mech & Transportat Engn, Beijing, Peoples R China

来源：

MANUFACTURING PROCESS TECHNOLOGY, PTS 1-5 | 2011年 / 189-193卷

关键词：

Rotating Mechanical equipment; Monte carlo; Repairing Period; Expense; Simulation;

D O I：

10.4028/www.scientific.net/AMR.189-193.424

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In order to improve the reliability and security in production, effectively checking and maintaining equipment must be put into practice. In this paper, the on-condition maintenance period of the equipment is optimized by Monte-Carlo for the lowest maintenance cost in unit time by expressing the maintenance interval as an exponential function parameterizing Weibull's distribution function. Finally, the oil centrifugal pump as an example was demonstrated. The results show that our model has the obvious economic benefits. The optimization analysis of equipment maintenance based on Monte-Carlo provides a theoretical basis for optimized detection and maintenance decisions.

引用

页码：424 / 427

页数：4

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