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Survival Signature for Reliability Quantification of Large Systems and Networks

Coolen, Frank P. A.; Coolen-Maturi, Tahani

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Authors



Contributors

Wojciech Zamojski
Editor

Jacek Mazurkiewicz
Editor

Jarosław Sugier
Editor

Tomasz Walkowiak
Editor

Janusz Kacprzyk
Editor

Abstract

The survival signature is a useful tool for quantification of reliability of large systems and networks with relatively few types of components. This paper provides an introductory overview of the survival signature, with emphasis on recent developments and challenges to enable its use for practical applications. Topics discussed include different survival signatures for specific scenarios, the level of detail in reliability modelling, and computational aspects.

In the literature, system reliability quantification is mostly focused on binary state systems with typically only few components in relatively straightforward configurations and with single functions. Real-world systems, on the other hand, often have multiple levels of functioning and consist of many components in a variety of configurations while they may need to perform multiple functions, leading to substantial challenges for reliability quantification.

In the twelve years since its introduction, the survival signature has gained much attention in the literature, and progress has been made on the challenges indicated above. However, many challenges remain, including some theoretical questions about the very nature of system reliability in real-world situations.

Citation

Coolen, F. P. A., & Coolen-Maturi, T. (2024, July). Survival Signature for Reliability Quantification of Large Systems and Networks. Presented at The Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, Brunów, Poland

Presentation Conference Type Conference Paper (published)
Conference Name The Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX
Start Date Jul 1, 2024
End Date Jul 5, 2024
Online Publication Date Jun 14, 2024
Publication Date Jun 14, 2024
Deposit Date Nov 3, 2024
Publicly Available Date Nov 4, 2024
Publisher Springer Nature
Peer Reviewed Peer Reviewed
Pages 29-37
Series Title Lecture Notes in Networks and Systems
Series ISSN 2367-3370
Book Title System Dependability - Theory and Applications
ISBN 9783031618567
DOI https://doi.org/10.1007/978-3-031-61857-4_3
Public URL https://durham-repository.worktribe.com/output/3080532

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