A multi-component and multi-failure mode inspection model based on the delay time concept

被引:78
|
作者
Wang, Wenbin [1 ,2 ]
Banjevic, Dragan [3 ]
Pecht, Michael [2 ,4 ]
机构
[1] Univ Salford, Salford Business Sch, Salford M5 4WT, Lancs, England
[2] City Univ Hong Kong, PHM Ctr, Hong Kong, Peoples R China
[3] Univ Toronto, Dept Mech & Ind Engn, Toronto, ON M5S 1A1, Canada
[4] Univ Maryland, CALCE Elect Prod & Syst, College Pk, MD 20742 USA
基金
加拿大自然科学与工程研究理事会; 英国工程与自然科学研究理事会;
关键词
Delay time; Inspection; Optimal inspection interval; Maintenance; MAINTENANCE;
D O I
10.1016/j.ress.2010.04.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The delay time concept and the techniques developed for modelling and optimising plant inspection practices have been reported in many papers and case studies. For a system comprised of many components and subject to many different failure modes, one of the most convenient ways to model the inspection and failure processes is to use a stochastic point process for defect arrivals and a common delay time distribution for the duration between defect the arrival and failure of all defects. This is an approximation, but has been proven to be valid when the number of components is large. However, for a system with just a few key components and subject to few major failure modes, the approximation may be poor. In this paper, a model is developed to address this situation, where each component and failure mode is modelled individually and then pooled together to form the system inspection model. Since inspections are usually scheduled for the whole system rather than individual components, we then formulate the inspection model when the time to the next inspection from the point of a component failure renewal is random. This imposes some complication to the model, and an asymptotic solution was found. Simulation algorithms have also been proposed as a comparison to the analytical results. A numerical example is presented to demonstrate the model. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:912 / 920
页数:9
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