Generic metrics and quantitative approaches for system resilience as a function of time

By Devanandham Henry, Jose Emmanuel Ramirez-Marquez. Reliability Engineering & System Safety, 2012

887 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Statistics and Probability, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/fe082264877b0c1212069f0ed4ec34a8f8ea2fad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Zhenghua Wang
2. Nikos D. Hatziargyriou
3. Dimitris N. Trakas
4. Ouyang Min
5. Mathaios Panteli
6. Pierluigi Mancarella
7. Enrico Zio
8. Daqing Li

In Statistics and Probability

1. Zhenghua Wang
2. Ouyang Min
3. Behailu B. Bekera
4. Royce A. Francis
5. Enrico Zio
6. Cen Nan
7. H. Eugene Stanley
8. Giovanni Sansavini

In Strategy and Management

1. Zhenghua Wang
2. Enrico Zio
3. Daqing Li
4. Boleslaw K. Szymanski
5. Cen Nan
6. Xueming Liu
7. Ouyang Min
8. H. Eugene Stanley

Citations in the corpus

• Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis (2015, background): “The difference between this metric and other resilience metrics in the literature, such as the loss of resilience quantified as the area between the targeted performance curve and the real performance curve within the restoration period [13-14], a normalized shaded area underneath the performance cu”
• The future of risk assessment (2018, background): “The concept of resilience varies somewhat by discipline and application [75,133,144], and different definitions exist such as “the ability of the system to reduce the chances of shock, to absorb a shock if it occurs and to recover quickly after a shock (re-establish normal performance)” [39], “the c”
• A quantitative method for assessing resilience of interdependent infrastructures (2017, methodology): “For instance, several methods mainly focus on the evaluation of performance loss without considering rapidity and robustness [34].”
• Resilience of Transportation Systems: Concepts and Comprehensive Review (2019, background): “is another variety in the literature [107], which allows the inequality between P(t0) and P(t2), i.”
• Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies (2017, background): “Several studies have been developed in order to quantitatively assess power systems resilience to natural hazards and extreme weather [13-24].”
• Network resilience (2020, background): “[662] developed a time-dependent resilience metric to measure the system resistance to disruption during different stages including reliability, vulnerability and re-”
• Resilience assessment of complex urban systems to natural disasters: A new literature review (2018, positive): “The need for a generic quantitative approach for resilience assessment was recognized by several authors [34,41,42].”
• A metric and frameworks for resilience analysis of engineered and infrastructure systems (2014, background): “260 Others have proposed quantitative metrics based on system functionality [18], [19], but we 261 propose some additions to these previous approaches.”