Please use this identifier to cite or link to this item:
Title: Impact of translation approach for modelling correlated non-normal variables on parallel system reliability
Authors: Li, D.-Q.
Phoon, K.-K. 
Wu, S.-B.
Chen, Y.-F.
Zhou, C.-B.
Keywords: joint probability distribution
multivariate construction methods
parallel system
Pearson correlation
Spearman correlation
system probability of failure
Issue Date: 2013
Citation: Li, D.-Q., Phoon, K.-K., Wu, S.-B., Chen, Y.-F., Zhou, C.-B. (2013). Impact of translation approach for modelling correlated non-normal variables on parallel system reliability. Structure and Infrastructure Engineering 9 (10) : 969-982. ScholarBank@NUS Repository.
Abstract: The adequacy of two approximate methods based on incomplete information, namely method P and method S, for constructing multivariate distributions with given marginal distributions and covariance has not been studied systematically. This article aims to study the errors of the method P and method S. First, the method P and method S as well as the exact method are presented. Second, the performance of the two approximate methods is evaluated based on their abilities to match exact solutions for system probabilities of failure. Finally, an illustrative example of a parallel system is investigated to demonstrate the errors associated with the two methods. The results indicate that the errors in system probabilities of failure for the two methods highly depend on the level of system probability of failure, the performance function underlying the system, and the degree of correlation. Such errors increase greatly with decreasing system probabilities of failure. When the target system probability of failure is larger than 1.0E-03, the system probabilities of failure obtained from the two methods and the exact method are of the same order of magnitude. The maximum error in the system probability of failure may not be associated with a large correlation. It can happen at an intermediate correlation. © 2013 Copyright Taylor and Francis Group, LLC.
Source Title: Structure and Infrastructure Engineering
ISSN: 15732479
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Feb 28, 2018


checked on Dec 26, 2018

Page view(s)

checked on Jan 12, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.