Failure probability estimation of a class of series systems by multidomain Line Sampling
Valdebenito
M
A
author
Wei
P
F
author
Song
J
W
author
Beer
M
author
Broggi
M
author
2021
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.
Line sampling
Multidomain
Linear performance function
Failure probability
Series system
WOS:000663910500016
exported from refbase (show.php?record=1430), last updated on Wed, 22 Sep 2021 16:56:04 -0300
text
10.1016/j.ress.2021.107673
Valdebenito_etal2021
Reliability Engineering & System Safety
Reliab. Eng. Syst. Saf.
2021
continuing
periodical
academic journal
213
107673
0951-8320