A review on resilience assessment of energy systems

P Gasser, P Lustenberger, M Cinelli… - Sustainable and …, 2021 - Taylor & Francis
Energy systems are regularly subject to major disruptions affecting economic activities,
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

P Uday, K Marais - Systems Engineering, 2015 - Wiley Online Library
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 …

Defining resilience analytics for interdependent cyber-physical-social networks

K Barker, JH Lambert, CW Zobel, AH Tapia… - Sustainable and …, 2017 - Taylor & Francis
Abstract Theory, methodology, and applications of risk analysis contribute to the
quantification and management of resilience. For risk analysis, numerous complementary …

Resilience assessment framework for fast response process systems

B Pawar, M Huffman, F Khan, Q Wang - Process Safety and Environmental …, 2022 - Elsevier
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 …

Susceptibility curves for humans: Empirical survival models for determining household-level disturbances from hazards-induced infrastructure service disruptions

A Esmalian, S Dong, A Mostafavi - Sustainable Cities and Society, 2021 - Elsevier
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 …

Incorporating the human factor in modeling the operational resilience of interdependent infrastructure systems

JJ Magoua, F Wang, N Li, D Fang - Automation in Construction, 2023 - Elsevier
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 …

Applying machine learning to social datasets: a study of migration in southwestern Bangladesh using random forests

K Best, J Gilligan, H Baroud, A Carrico… - Regional Environmental …, 2022 - Springer
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 …

Predictive maintenance for aircraft components using proportional hazard models

WJC Verhagen, LWM De Boer - Journal of Industrial Information Integration, 2018 - Elsevier
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 …

Computing resilience of process plants under Na-Tech events: Methodology and application to sesmic loading scenarios

AC Caputo, B Kalemi, F Paolacci, D Corritore - Reliability Engineering & …, 2020 - Elsevier
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 …

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 …