The Survival Signature for Quantifying System Reliability: An Introductory Overview from Practical Perspective-Reference-Cited by-同舟云学术

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The Survival Signature for Quantifying System Reliability: An Introductory Overview from Practical Perspective

Published:2021 Issue: Volume: Page:23-37
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
Short-container-title:

Author:

Coolen Frank P. A.,Coolen-Maturi Tahani

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-74556-1_2

Reference36 articles.

1. Aslett, L.J.M.: MCMC for inference on phase-type and masked system lifetime models. Ph.D. thesis, Trinity College Dublin (2012)

2. Aslett, L.J.M.: Reliability theory: tools for structural reliability analysis. R package (2012). www.louisaslett.com

3. Aslett, L.J.M.: Cryptographically secure multiparty evaluation of system reliability (2016). arXiv:1604.05180 [cs.CR]

4. Aslett, L.J.M., Coolen, F.P.A., Wilson, S.P.: Bayesian inference for reliability of systems and networks using the survival signature. Risk Anal. 35, 1640–1651 (2015)

5. Augustin, T., Coolen, F.P.A., de Cooman, G., Troffaes, M.C.M. (eds.): Introduction to Imprecise Probabilities. Wiley, Chichester (2014)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Survival Signature for Reliability Quantification of Large Systems and Networks;Lecture Notes in Networks and Systems;2024

2. Discussion of signature‐based models of preventive maintenance;Applied Stochastic Models in Business and Industry;2022-09-21

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