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• W803293759 abstract "Rotating machinery is a major contributor to process plant downtime, hence, predicting thereliability performance of these complex systems becomes an important task in plant availabilityassessments. Currently the models employed are relatively elementary so the objective of thisresearch has been to investigate alternatives which offer improvements particularly for assessing the effect of High-Impact, Low-probability (HILP) events.Data are necessary in puts to availability models so a significant part of the researchh as focusedon the analysis of reliability and maintainability data. Generic and in-house sources or rotatingmachinery failure and repair data have been used. Gas turbines with power outputs less than30MW, which are employed as drivers for a variety of process applications, provide the mainsource of the data analysed. In this area the popular assumption of increasing rates of failurewith equipment age is not supported. Indications of increasing failure rates (IFR), where theydo exist, are quite weak and it is evident that gas turbine systems generally show slowlydecreasing failure rates (DFR) with time in service. Constant failure rates for gas turbinesystems is therefore a reasonable assumption for availability studies. The majority of the dataanalysed however have limitations for predicting the likely failure rate for a specific type of gasturbine in a well-specified application. The problems of maintainability data are less acutealthough it is evident that the assumption of a single constant repair rate for complex equipmentsuch as a gas turbine is over simplistic. Repair time distributions are strongly skewed,however, when repair times are partitioned into 3 or more ranges the assumption of constantrepair rates appears viable.The alternative model proposed is based on the assumption of 3 exponentially-distributedfailure/repair modes. This model predicted significantly lower availabilities than singlefailure/repair mode models which underestimates the importance of the High-Impact-Low-Probability outages. However, the model was found to present problems for the application inMarkovian and simulation analyses for more complex configurations (for example, 2-out-of-3systems) because, inter-alia, of the complexity of'construdting representative State TransitionDiagrams. The alternative of employing fault trees proved significantly more tractable. It wasshown to give the same numerical output as obtained by Markov analysis and has many otheradvantages. These include its hierarchical constructipp which facilitates the representation ofcomplex system logic, the scope for decomposing a complex system into sub-trees by the useof transfer-in, transfer-out gates, the ability to introduce delays, sequential events and theselective use of simulation in important sub-trees." @default.
• W803293759 created "2016-06-24" @default.
• W803293759 creator A5058302617 @default.
• W803293759 date "1999-01-01" @default.
• W803293759 modified "2023-09-23" @default.
• W803293759 title "Rotating machinery reliability" @default.
• W803293759 hasPublicationYear "1999" @default.
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