A review on resilience assessment of energy systems
Energy systems are regularly subject to major disruptions affecting economic activities,
operation of infrastructure and the society as a whole. Resilience assessment comprises the …
operation of infrastructure and the society as a whole. Resilience assessment comprises the …
Designing resilient systems‐of‐systems: A survey of metrics, methods, and challenges
Resilience is the ability of a system to react to and recover from disturbances with minimal
effect on its dynamic stability. While resilience has been the focus of research in several …
effect on its dynamic stability. While resilience has been the focus of research in several …
Defining resilience analytics for interdependent cyber-physical-social networks
Abstract Theory, methodology, and applications of risk analysis contribute to the
quantification and management of resilience. For risk analysis, numerous complementary …
quantification and management of resilience. For risk analysis, numerous complementary …
Resilience assessment framework for fast response process systems
Resilience is essential to ensure safe and sustainable process operations. It plays a critical
role in enabling operations in the remote and extreme environments encountered during …
role in enabling operations in the remote and extreme environments encountered during …
Susceptibility curves for humans: Empirical survival models for determining household-level disturbances from hazards-induced infrastructure service disruptions
In natural hazard engineering, fragility curves are used to determine the likelihood of
damage to an engineered system under different magnitudes of hazard intensity. Analogous …
damage to an engineered system under different magnitudes of hazard intensity. Analogous …
Incorporating the human factor in modeling the operational resilience of interdependent infrastructure systems
The human factor of critical infrastructure systems (CISs), which refers to the impact of
various human characteristics on system operations and management, is a significant …
various human characteristics on system operations and management, is a significant …
Applying machine learning to social datasets: a study of migration in southwestern Bangladesh using random forests
As researchers collect large amounts of data in the social sciences through household
surveys, challenges may arise in how best to analyze such datasets, especially where …
surveys, challenges may arise in how best to analyze such datasets, especially where …
Predictive maintenance for aircraft components using proportional hazard models
Unscheduled maintenance can contribute significantly to an airline's cost outlay. Reliability
analysis can help to identify and plan for maintenance events. Reliability analysis in industry …
analysis can help to identify and plan for maintenance events. Reliability analysis in industry …
Computing resilience of process plants under Na-Tech events: Methodology and application to sesmic loading scenarios
Resilience is a performance measure representing both the capability of a system to survive
a disruptive event and the ability of rapidly restoring the operational status recovering the …
a disruptive event and the ability of rapidly restoring the operational status recovering the …
Post-disaster infrastructure recovery: Prediction of recovery rate using historical data
A Barabadi, YZ Ayele - Reliability Engineering & System Safety, 2018 - Elsevier
The recovery of infrastructure systems is of significant concern; in order to have effective risk
management planning, an accurate prediction of the recovery time is required. A system …
management planning, an accurate prediction of the recovery time is required. A system …