Resilience Assessment Approach for Transmission Systems Considering Uncertainties of Ice Storms

Author(s):  
Michael Abdelmalak ◽  
Jitendra Thapa ◽  
Mohammed Benidris
2020 ◽  
Vol 176 ◽  
pp. 2625-2634
Author(s):  
Wissem Eljaoued ◽  
Nesrine Ben Yahia ◽  
Narjès Bellamine Ben Saoud

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 40747-40756 ◽  
Author(s):  
Yihao Yang ◽  
Wenhu Tang ◽  
Yang Liu ◽  
Yanli Xin ◽  
Qinghua Wu

Author(s):  
Natalie Miller ◽  
Yupak Satsrisakul ◽  
Katja Faist ◽  
Mirjam Fehling-Kaschek ◽  
Stephen Crabbe ◽  
...  

2020 ◽  
Vol 11 (6) ◽  
pp. 5431-5441
Author(s):  
Xiaonan Liu ◽  
Kai Hou ◽  
Hongjie Jia ◽  
Junbo Zhao ◽  
Lamine Mili ◽  
...  

2014 ◽  
pp. 2033-2055 ◽  
Author(s):  
Eric D. Vugrin ◽  
Jennifer Turgeon

Cyber resilience is becoming increasingly recognized as a critical component of comprehensive cybersecurity practices. Current cyber resilience assessment approaches are primarily qualitative methods, making validation of their resilience analyses and enhancement recommendations difficult, if not impossible. The evolution of infrastructure resilience assessment methods has paralleled that of their cyber counterparts. However, the development of performance-based assessment methods has shown promise for overcoming the validation challenge for infrastructure systems. This article describes a hybrid infrastructure resilience assessment approach that combines both qualitative analysis techniques with performance-based metrics. The qualitative component enables identification of system features that limit resilience, and the quantitative metrics can be used to evaluate and confirm the effectiveness of proposed mitigation options. The authors propose adaptation of this methodology for cyber resilience analysis. A case study is presented to demonstrate how the approach could be applied to a hypothetical system.


2016 ◽  
Vol 17 (2) ◽  
pp. 228-245 ◽  
Author(s):  
Irene Muller ◽  
Johann Tempelhoff

Purpose – This paper aims to outline the benefits of using resilience assessment instead of command and control mechanisms to evaluate sustainable campus environments. Design/methodology/approach – An exploratory mixed-method design was followed for the purposes of the project. During the first qualitative phase, a historical timeline of the focal system was created. In the quantitative phase, the resilience assessment guided the investigation. To collect data, the case study research strategy included a heuristic process of collecting and reviewing documents, semi-structured interviews, observations and the systematic implementation of the resilience assessment approach. Findings – Based on the resilience assessment approach, it is argued that the environmental status of university campuses can be considered relevant to the local community and immediate environment. Knowledge of the finite resources and their capacity in the context of the social-ecological system may increase the resilience of a campus. Originality/value – This research study explores the use of an alternative approach to environmental practices at university campuses. The resilience assessment is usually performed on large ecosystems. By applying this approach to a small ecosystem, the study fills a gap in the applicability of the resilience approach.


2013 ◽  
Vol 4 (1) ◽  
pp. 75-96 ◽  
Author(s):  
Eric D. Vugrin ◽  
Jennifer Turgeon

Cyber resilience is becoming increasingly recognized as a critical component of comprehensive cybersecurity practices. Current cyber resilience assessment approaches are primarily qualitative methods, making validation of their resilience analyses and enhancement recommendations difficult, if not impossible. The evolution of infrastructure resilience assessment methods has paralleled that of their cyber counterparts. However, the development of performance-based assessment methods has shown promise for overcoming the validation challenge for infrastructure systems. This paper describes a hybrid infrastructure resilience assessment approach that combines both qualitative analysis techniques with performance-based metrics. The qualitative component enables identification of system features that limit resilience, and the quantitative metrics can be used to evaluate and confirm the effectiveness of proposed mitigation options. The authors propose adaptation of this methodology for cyber resilience analysis. A case study is presented to demonstrate how the approach could be applied to a hypothetical system.


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