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- W656246145 abstract "This thesis is concerned with investigating and understanding the role andconsequence of different modelling options and parameter estimation options formodelling a complex plant. As systems become more complicated and required newtechnologies and methodologies, more sophisticated maintenance models and controlpolicies are need to solve the maintenance problems. The initial chapter introduces thereview of previous work on a single component system and multi-component system.Although in recent years there has been a shift in the maintenance literature fromconsideration of single items to systems composed of several components, so far only afew papers have tackled the modelling of actual multi-component plant. In the thirdchapter, delay time concept and analysis technique have been presented. Ofparticularly importance are parameter estimation methods, namely the objective methodand the subjective methods. In the fourth chapter the component PM model and thesystem PM model for downtimes and costs based upon various PM policies arediscussed. The key options within maintenance modelling are to determine regularMinspection periods for the system modelled as a whole, and to determine the periodsfor the plant as a set of separate component models. An extension to the downtimemodel is presented for the case when the downtime due to failures within system is notsmall, and impacts upon the estimate of the number of failures arising over a specifiedtime zone. In the following chapter, we address parameter estimation methods usingsimulated data, and assess the ability of estimation techniques to capture the trueparameter values. Particular attention is paid to the problem arising during theparameter estimating process because of the inadequate recording of PM data andimplied correlation between model parameters. Finally, a case study is presented ofmaintenance modelling of production plant in a local company with view to improvingcurrent practice. The model developed is based upon the delay time concept wherebecause of an absence of PM data, using the results of earlier chapters, the processparameters and the delay time distribution were estimated from failure data only using the method of maximum likelihood. The modelling was repeated based uponsubjective assessmentosf parameter,a nd considerablec onsistencyw ith the objectivelybased case obtained. For the plant study, modelling indicated the current PMinspection program was ineffective. A snap-shot approach is then applied to assessother ways of reducing the downtime, and the possibility of improving the PMinspection practice. This leads to readily adapted improvements." @default.
- W656246145 created "2016-06-24" @default.
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- W656246145 date "1999-01-01" @default.
- W656246145 modified "2023-09-26" @default.
- W656246145 title "Applications of delay time theory to maintenance practice of complex plant" @default.
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