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contributor authorMikko I. Jyrkama
contributor authorStephen M. Hess
contributor authorMahesh D. Pandey
date accessioned2017-05-09T00:37:30Z
date available2017-05-09T00:37:30Z
date copyrightOctober, 2010
date issued2010
identifier issn1528-8919
identifier otherJETPEZ-27138#102916_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/143085
description abstractThe main objective of generation risk assessment (GRA) is to assess the impact of equipment unavailability and failures on the ability of the plant to produce power over time. The system reliability models employed for this purpose are based on the standard fault tree/event tree approach, which assumes failure rates to be constant. However, this ignores the impact of aging degradation and results in static estimates of expected generation loss. Component and equipment degradation not only increases the probability of failure over time, but also contributes to generation risk through increased unavailability and costs arising from greater requirement for inspection and replacement of degraded components. This paper discusses some of the key challenges associated with integrating the results of component degradation models into GRA. Because many analytical and simulation methods are subject to limitations, the methodology and modeling approach proposed in this work builds on the current GRA practice using the fault tree approach. The modeling of component degradation can be done separately at the fault tree cut set level, assuming the cut sets are independent and the component unavailabilities are relatively small. In order to capture the joint contribution of equipment failure and unavailability to generation risk, new risk-based importance measures are also developed using the concept of net present value.
publisherThe American Society of Mechanical Engineers (ASME)
titleIntegration of Degradation Models Into Generation Risk Assessment: Challenges and Modeling Approaches
typeJournal Paper
journal volume132
journal issue10
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4000892
journal fristpage102916
identifier eissn0742-4795
keywordsMaintenance
keywordsReliability
keywordsModeling
keywordsFailure AND Probability
treeJournal of Engineering for Gas Turbines and Power:;2010:;volume( 132 ):;issue: 010
contenttypeFulltext


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