کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
13420954 | 1841580 | 2019 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
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چکیده انگلیسی
This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Critical Infrastructure Protection - Volume 25, June 2019, Pages 62-83
Journal: International Journal of Critical Infrastructure Protection - Volume 25, June 2019, Pages 62-83
نویسندگان
Niamat Ullah Ibne Hossain, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, Randy K. Buchanan,