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  • 學位論文

有限區間單峰分配之Beta近似

A Beta approximation of unimodal density in finite interval

指導教授 : 李孟峰
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摘要


可靠度是元件或系統在一特定時間內可以正常作用的機率值。當元件壽命分配未知時,系統可靠度 Rs(t)=P{T≥t} 之估計方法為非參數的估計方法。以抽樣來測試元件,可靠度會隨著的抽樣而有所誤差,為了加以掌握可靠度的變動情形,將可靠度視為一具有 Beta 分配的隨機變數,又稱為可靠度之相信程度 (believed-reliability)。本研究利用數值方法,對於兩元件在時間 t 的可靠度為兩獨立的隨機變數 X~Beta(α1,β1), Y~Beta(α2,β2) 其中 α1, β1, α2, β2 > 0 時,找出與 Z=XY 機率密度函數的 L1-norm 最小的 Beta 機率密度函數,作為 Z=XY 之近似分配,以計算系統之可靠度。本文先討論兩元件串聯的情形,找出可靠度的 Beta 近似,再將其推廣至 n 個元件串聯及並聯的情形。由串聯模式、並聯模式、串並聯模式及並串聯模式所構成之系統,皆可利用上述方法求出總系統可靠度之 Beta 近似。

並列摘要


Reliability is the probability that a component or a system can function at designed level during some specified period of time. When the distribution of component lifetime is unknown, nonparametric methods are used to estimate the system reliability, Rs(t)=P{T>t}. Due to the randomization of sampling, the reliability of a component varies from lot to lot. In order to describe further the variation and uncertainty of the reliability, it can be viewed as a random variable, also called believed-reliability, which is often assumed to be distributed as a Beta distribution. The purpose of this research is to present a numerical method to evaluate system believed-reliability by component believed-reliabilities under the circumstance that components distributed as Beta function independently and through the system structure function. Let the believed-reliabilities of two components at time t be independent random variables X~Beta(α1,β1) and Y~Beta(α2,β2), α1, β1, α2, β2 > 0. This research first discusses the case of a series composed of two components to find the Beta approximation for the believed-reliability, Z=XY by minimizing the L1-norm between the density functions, and then extends it to the case of the series and parallel composed of n components. The Beta approximation of the believed-reliability for the system composed of series, parallel, series-parallel and parallel-series configuration can be derived by the previous methods.

參考文獻


[10] 郭重明 (1990),基於貝它分配之系統可靠度,國立中山大學應用數學研究所論文。
[1] W. M. McKeeman (1962), Algorithm 145, Adaptive Numerical Integration by Simpson’s Rule, Communications of the Association for Computing Machinery, Vol.5, Issue 12, p.p.604
[2] J. A. Nelder, R. Mead (1965), A Simplex Method for Function Minimization, Computer Journal, p.p.308-313
[3] J. N. Lyness (1969), Notes on the Adaptive Simpson Quadrature Routine, Journal of the Association for Computing Machinery, Vol.16, Issue 3, p.p.483-495
[4] B.S. Duran and J.M. Booker (1988), A Bayes Sensitivity Analysis when Using the Beta Distribution as a Prior, IEEE Transactions, on Reliability, Vol. 37, No.2, p.p.239-247

被引用紀錄


吳恬菁(2013)。系統可靠度之Beta機率密度函數估計〔碩士論文,國立臺北大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0023-1107201318473300

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