Free access
Research Article
Jul 19, 2023

Enhancing the Reliability of Series-Parallel Systems With Multiple Redundancies by Using System-Reliability Inequalities

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 9, Issue 4

Abstract

The reverse engineering of a valid algebraic inequality often leads to a novel physical reality characterized by a distinct signature: the algebraic inequality itself. This paper uses reverse engineering of valid algebraic inequalities for generating new knowledge and substantially improving the reliability of common series-parallel systems. Our study emphasizes that in the case of series-parallel systems with interchangeable redundant components, the asymmetric arrangement of redundancies always leads to higher system reliability than a symmetric arrangement. This finding remains valid, irrespective of the particular reliabilities characterizing the components. Next, the paper also presents algebraic inequalities whose reverse engineering enabled significant enhancement of the reliability of series-parallel systems with asymmetric arrangements of redundant components, irrespective of the component reliabilities. Lastly, the paper presents a new technique for validating complex algebraic inequalities associated with reliability of series-parallel systems. This technique relies on a permutation of variable values and the method of segmentation. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4062892.

Information & Authors

Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 9Issue 4December 2023

History

Received: Apr 3, 2023
Revision received: Jun 29, 2023
Published online: Jul 19, 2023
Published in print: Dec 1, 2023

Authors

Affiliations

Michael T. Todinov [email protected]
School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford OX33 1HX, Oxfordshire, UK e-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share