• Title/Summary/Keyword: reliablilty analysis method

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A Study on the Risk Assessment of Small Reservoirs using Reliability Analysis Methods (신뢰도 분석기법을 이용한 소규모 저수지의 위험도 분석)

  • Kim, Mun-Mo;Park, Chang-Eon
    • Journal of Korea Water Resources Association
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    • v.33 no.1
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    • pp.15-30
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    • 2000
  • This study is to develop the applied method of reliability analysis to present risk - initial water level relationship in the small reservoir. To determine the reliability, the grasping of uncertainty sources is prerequisited and performance function is formulated. Reliability analysis method is a statistical method and the basic procedure of risk evaluation for overtopping of reservoir is as follows. 1. Define the risk criterion and performance function for the overtopping. 2. Determine the uncertainties of all the variables in the performance function. 3. Perform the risk analysis with suitable risk calculation method. Reliability analysis method such as Monte Carlo simulation(MCS) method and mean value first order second moment(MVFOSM) method are used to calculate the risk for reservoir. Finally, risk - initial water level relationship is established according to return period and it is useful for reservoir operation and safety assessment.ssment.

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Analysis of Failutr Count Data Based on NHPP Models (NHPP모형에 기초한 고장 수 자료의 분석)

  • Kim, Seong-Hui;Jeong, Hyang-Suk;Kim, Yeong-Sun;Park, Jung-Yang
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.2
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    • pp.395-400
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    • 1997
  • An important quality characteristic of a software reliability.Software reliablilty growh models prvied the tools to evluate and moniter the reliabolty growth behavior of the sofwate during the testing phase Therefore failure data collected during the testing phase should be continmuosly analyzed on the basis of some selected software reliability growth models.For the cases where nonhomogeneous Poisson proxess models are the candiate models,we suggest Poisson regression model, which expresses the relationship between the expeted and actual failures counts in disjonint time intervals,for analyzing the failure count data.The weighted lest squares method is then used to-estimate the paramethers in the parameters in the model:The resulting estimators are equivalent to the maximum likelihood estimators. The method is illustrated by analyzing the failutr count data gathered from a large- scale switchong system.

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