A quantitative framework for network resilience evaluation using Dynamic Bayesian Network

Jiang, Shanqing; Yang, Lin; Cheng, Guang; Gao, Xianming; Feng, Tao; Zhou, Yuyang

doi:10.1016/j.comcom.2022.07.042

Cited by 12 publications

(3 citation statements)

References 29 publications

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“…When data is scarce, the framework can be used to quantify the resilience of any engineering system. Jiang et al [28] drew on the Dynamic Bayesian network to establish a framework for assessing the network for the time-varying resilience. This framework can evaluate resilience under different attack scenarios and recovery scenarios.…”

Section: Relevant Workmentioning

confidence: 99%

Recovery Model and Maintenance Optimization for Urban Road Networks with Congestion

Dui

Zhang

et al. 2023

Mathematics

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Urban road networks have promoted high-quality travel for residents by increasing connectivity and intelligence. But road congestion has not been effectively alleviated, causing a loss of time and energy. At present, the recovery of urban road networks mainly considers removing the failed edges. Considering the recovery cost and time, it is important to take active maintenance behavior to restore these networks. One of the key problems is dispatching traffic workers reasonably to achieve timely maintenance. In this paper, a flow-distribution-based process and execution (FD-PE) model is established for solving congestion. The maintenance centers (MC) study the reasons for and spread of congestion by edge flow. Based on the genetic algorithm (GA), two models of maintenance for urban road networks are developed, which include a single MC-centered dispatching plan and the co-scheduling of MCs. Both models aim at minimizing recovery time and allocating maintenance resources. The road network in Zhengzhou is borrowed as a case to explain the feasibility of the proposed models. The results show that on the premise of dividing network regions, it is reasonable to take a single MC to recover congestion. Compared with a single MC, the co-scheduling of MCs may save more time.

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Section: Relevant Workmentioning

confidence: 99%

Recovery Model and Maintenance Optimization for Urban Road Networks with Congestion

Dui

Zhang

et al. 2023

Mathematics

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“…(2022) and Jiang et al. (2021) established a novel quantitative framework for evaluating network resilience using the Dynamic Bayesian Network. Based on previous research, we attempt to employ relatively comprehensive methods to enrich the research field of structural resilience.…”

Section: Literature Reviewmentioning

confidence: 99%

The evolution of structural resilience of global oil and gas resources trade network

et al. 2022

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This paper establishes anetwork resilience evaluation framework of the global oil and gas resourcetrade network in 2010, 2015 and 2020. The results are as follows: The links of the oil trade network present a gradually shrinking trend, and the gas tradenetwork presents a trend of close connection first and then reduced. In termsof network density, network centrality, network connectivity and network size, the structural resilience of the oil and gas resource trade network displays ashrinking trend, and the gas trade network is superior. Concerninginvulnerability and recovery, the resilience of the oil trade network issuperior to the natural gas trade network. In simulated attacks, the oil tradenetwork reveals a higher resilience towards intentional attacks, and the gastrade network shows a higher resilience towards random attacks. The Strait ofHormuz and the Strait of Malacca are critical chokepoints in the networks.

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“…The simulation methods are mainly developed in systems such as transportation and electricity networks. The simulation methods are usually used in Bayesian networks, 2,[17][18][19] Monte Carlo simulation, [20][21][22] optimization algorithms, [23][24][25] and fuzzy models. [26][27][28][29] For example, Sharma et al 22 proposed a model for large-scale infrastructure resilience simulation.…”

Section: Introductionmentioning

confidence: 99%

A novel index for shearer system resilience in underground coal mines based on the operational environment

Norouzi Masir,

Ataei,

Sereshki

2024

Proceedings of the Institution of Mechanical Engineers, Part O:

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The use of resilience during the mining period by guaranteeing the safety and performance of the systems greatly helps the managers and engineers with their decision-making and designing different systems. During the last two decades, various studies have been conducted in this regard. However, the analysis of underground coal mining systems’ resilience has been rarely addressed by these studies. The present study aims to provide a quantitative index for resilience in the environment of underground coal mining operations based on the risk factors. To do so, in a case study of Tabas Mechanized Coal Mine, the Failure of shearer data and the stoppages caused by it (for 2 years and a half, from March 2017 to June 2019) were studied to analyze the system’s resilience. Then, the experts were surveyed. After collecting and categorizing the data, the data analysis calculations were done for indicators of reliability, maintainability, supportability, organizational resilience, PHM system efficiency, and economic resilience. Finally, a new quantitative index named the “Shearer System Resilience Index” was introduced. The results indicated that resilience is reduced over time. They also shows that in order to improve resilience, project managers should pay more attention to these indicators, especially the indicators of maintainability, and organizational resilience. Therefore, regarding the scope of the data investigated in the current study, the use of Failure of Shearer data-based risk factors and experts’ opinions for the analysis of resilience in the case study is strongly recommended.

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A quantitative framework for network resilience evaluation using Dynamic Bayesian Network

Cited by 12 publications

References 29 publications

Recovery Model and Maintenance Optimization for Urban Road Networks with Congestion

Recovery Model and Maintenance Optimization for Urban Road Networks with Congestion

The evolution of structural resilience of global oil and gas resources trade network

A novel index for shearer system resilience in underground coal mines based on the operational environment

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