Reliability Analysis of Networks Interconnected With Copulas

Author:

Behrensdorf Jasper1,Broggi Matteo1,Beer Michael2

Affiliation:

1. Institute for Risk and Reliability, Leibniz University Hannover, Hannover 30167, Germany

2. Institute for Risk and Reliability, Leibniz University Hannover, Hannover 30167, Germany; Institute for Risk and Uncertainty, University of Liverpool, Liverpool L69 7ZF, UK; International Joint Research Center for Engineering Reliability and Stochastic Mechanics (ERSM), Tongji University, Shanghai 200092, China

Abstract

Abstract With the increasing size and complexity of modern infrastructure networks rises the challenge of devising efficient and accurate methods for the reliability analysis of these systems. Special care must be taken in order to include any possible interdependencies between networks and to properly treat all uncertainties. This work presents a new approach for the reliability analysis of complex interconnected networks through Monte Carlo simulation and survival signature. Application of the survival signature is key in overcoming limitations imposed by classical analysis techniques and facilitating the inclusion of competing failure modes. The (inter)dependencies are modeled using vine copulas while the uncertainties are handled by applying probability boxes and imprecise copulas. The proposed method is tested on a complex scenario based on the IEEE reliability test system, proving its effectiveness and highlighting the ability to model complicated scenarios subject to a variety of dependent failure mechanisms.

Publisher

ASME International

Subject

Mechanical Engineering,Safety Research,Safety, Risk, Reliability and Quality

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reliability evaluation of a multi-state system with dependent components and imprecise parameters: A structural reliability treatment;Reliability Engineering & System Safety;2024-10

2. Ensemble of Artificial Neural Networks for Approximating the Survival Signature of Critical Infrastructures;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering;2023-10-03

3. Reliability analysis for system with dependent components based on survival signature and copula theory;Reliability Engineering & System Safety;2023-10

4. System reliability analysis for independent and nonidentical components based on survival signature;Probabilistic Engineering Mechanics;2023-07

5. Modeling Economic Security Risks for Russian Regions in the Context of Sanctions Pressure;Economic and Social Changes: Facts, Trends, Forecast / Экономические и социальные перемены: факты, тенденции, прогноз;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3