Details

Autor(en) / Beteiligte

• Yi-Ping Fang
• Pedroni, Nicola
• Zio, Enrico

Titel

Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems

Ist Teil von

• IEEE transactions on reliability, 2016-06, Vol.65 (2), p.502-512

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2016

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• In this paper, we propose two metrics, i.e., the optimal repair time and the resilience reduction worth, to measure the criticality of the components of a network system from the perspective of their contribution to system resilience. Specifically, the two metrics quantify: 1) the priority with which a failed component should be repaired and re-installed into the network and 2) the potential loss in the optimal system resilience due to a time delay in the recovery of a failed component, respectively. Given the stochastic nature of disruptive events on infrastructure networks, a Monte Carlo-based method is proposed to generate probability distributions of the two metrics for all of the components of the network; then, a stochastic ranking approach based on the Copeland's pairwise aggregation is used to rank components importance. Numerical results are obtained for the IEEE 30-bus test network and a comparison is made with three classical centrality measures.