A Stochastic Model for Piping Failure Frequency Analysis Using OPDE Data

被引：5

作者：

Yuan, X. -X. ^{[1
]}

Pandey, M. D. ^{[2
]}

Riznic, J. ^{[3
]}

机构：

[1] Ryerson Univ, Dept Civil Engn, Toronto, ON M5B 2K3, Canada

[2] Univ Waterloo, Dept Civil & Environm Engn, Waterloo, ON N2L 3G1, Canada

[3] Canadian Nucl Safety Commiss, Stn B, Ottawa, ON K1P 5S9, Canada

来源：

JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME | 2009年 / 131卷 / 05期

关键词：

PRESSURIZED-WATER-REACTORS; RUPTURE FREQUENCIES; SYSTEMS;

D O I：

10.1115/1.3094027

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The accurate estimation of piping failure frequency is an important task to support the probabilistic risk assessment and risk-informed in-service inspection of nuclear power plants. Although probabilistic models have been reported in the literature to analyze the piping failure frequency, this paper proposes a stochastic point process model that incorporates both a time dependent trend and plant-specific (or cohort) effects on the failure rate. A likelihood based statistical method is proposed for estimating the model parameters. A case study is presented to analyze the Class 1 pipe failure data given in the OPDE Database. [DOI: 10.1115/1.3094027]

引用

页码：1 / 9

页数：9

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