A case study of condition based maintenance modelling based upon the oil analysis data of marine diesel engines using stochastic filtering

被引：45

作者：

Wang, Wenbin ^{[1
]}

Hussin, B. ^{[2
]}

Jefferis, Tim ^{[3
]}

机构：

[1] Univ Sci & Technol Beijing, Dongling Sch Econ & Management, Beijing 100083, Peoples R China

[2] Univ Teknikal Malaysia, Fac Informat & Commun Technol, Melaka, Malaysia

[3] Def Sci & Technol Lab, Farnborough, Hants, England

来源：

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | 2012年 / 136卷 / 01期

基金：

英国工程与自然科学研究理事会;

关键词：

Condition based maintenance; Residual time; Oil analysis; Stochastic filtering; Diesel engines;

D O I：

10.1016/j.ijpe.2011.09.016

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a case study of condition based maintenance modelling based on measured metal concentrations observed in oil samples of a fleet of marine diesel engines. The decision model for optimising the replacement time of the diesel engines conditional on observed measurements is derived and applied to the case discussed. We described the datasets, which were cleaned and reorganised according to the need of the research. The residual time distribution required in the decision model was formulated using a technique called stochastic filtering. Procedures for model parameter estimation are constructed and discussed in detail. The residual life model presented has been fitted to the case data, and the modelling outputs are discussed. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：84 / 92

页数：9

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