Failure Probability Estimation of a Class of Series Systems by Multidomain Line Sampling

authored by

Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi

Abstract

This contribution proposes an approach for the assessment of the failure probability associated with a particular class of series systems. The type of systems considered involves components whose response is linear with respect to a number of Gaussian random variables. Component failure occurs whenever this response exceeds prescribed deterministic thresholds. We propose multidomain Line Sampling as an extension of the classical Line Sampling to work with a large number of components at once. By taking advantage of the linearity of the performance functions involved, multidomain Line Sampling explores the interactions that occur between failure domains associated with individual components in order to produce an estimate of the failure probability. The performance and effectiveness of multidomain Line Sampling is illustrated by means of two test problems and an application example, indicating that this technique is amenable for treating problems comprising both a large number of random variables and a large number of components.

Organisation(s)

Institute for Risk and Reliability

External Organisation(s)

Universidad Adolfo Ibanez
Universidad Tecnica Federico Santa Maria
Northwestern Polytechnical University

Type

Article

Journal

Reliability Engineering and System Safety

Volume

213

ISSN

0951-8320

Publication date

09.2021

Publication status

Published

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering

Electronic version(s)

https://doi.org/10.1016/j.ress.2021.107673 (Access: Closed)