Deriving a minimum set of indicators to assess network component importance-Reference-Cited by-同舟云学术

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Deriving a minimum set of indicators to assess network component importance

Published:2022-12 Issue: Volume:5 Page:100145
ISSN:2772-6622
Container-title:Decision Analytics Journal
language:en
Short-container-title:Decision Analytics Journal

Author:

Rocco Claudio M.^ORCID,Barker Kash^ORCID

Publisher

Elsevier BV

Subject

Modeling and Simulation,Applied Mathematics,Analysis,General Decision Sciences

Reference64 articles.

1. Importance Measures in Reliability, Risk, and Optimization: Principles and Applications;Kuo,2012

2. On the Importance of Different Component in a Multi-Component System, Multivariate Analysis, Vol. 11;Birnbaum,1969

3. Birnbaum criticality and importance measures for multistate systems with repairable components;Huseby;Probab. Engrg. Inform. Sci.,2022

4. A Birnbaum importance-based two-stage approach for two-type component assignment problems;Qiu;Reliab. Eng. Syst. Saf.,2022

5. New insights on multi-state component criticality and importance;Ramirez-Marquez;Reliab. Eng. Syst. Saf.,2006

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. Rooftop Photovoltaic Power Prediction Method Considering the Characteristics of Photovoltaic Blocks;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

2. A psychological network analysis of the relationship among component importance measures;Applied Network Science;2024-06-07

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