Reliability analysis of load-sharing systems with spatial dependence and proximity effects

Tools

Brown, Bodunrin and Liu, Bin and McIntyre, Stuart and Revie, Matthew (2022) Reliability analysis of load-sharing systems with spatial dependence and proximity effects. Reliability Engineering and System Safety, 221. 108284. ISSN 0951-8320 (https://doi.org/10.1016/j.ress.2021.108284)

[thumbnail of Brown-etal-RESS-2022-Reliability-analysis-of-load-sharing-systems-with-spatial]
Preview
 Text. Filename: Brown_etal_RESS_2022_Reliability_analysis_of_load_sharing_systems_with_spatial.pdf
Accepted Author Manuscript
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo
Download (1MB)| Preview

Abstract

In the operating process of multi-component systems, components may interact with each other in a way that the load of a failed component is taken up by its nearby components at varying proportions. As a result, the failure rates of the proximate components are accelerated while distant components are not affected. This paper develops a novel spatial model for estimating the reliability of a load-sharing system considering spatial dependence and proximity effects. The spatial model is applicable to systems with heterogeneous or homogeneous components and is suitable for systems with or without distance information. To investigate the importance and significance of the spatial effect, we compare our spatial model with an equal load-sharing through numerical examples. Our results demonstrate that our model is more accurate than standard load sharing models in evaluating system reliability when spatial effects exist.

ORCID iDs

Brown, Bodunrin, Liu, Bin ORCID logoORCID: https://orcid.org/0000-0002-3946-8124, McIntyre, Stuart ORCID logoORCID: https://orcid.org/0000-0002-0640-7544 and Revie, Matthew ORCID logoORCID: https://orcid.org/0000-0002-0130-8109;
CORE (COnnecting REpositories)