[HTML][HTML] Cyber resilience in industrial networks: A state of the art, challenges, and future directions

TNI Alrumaih, MJF Alenazi, NA AlSowaygh… - Journal of King Saud …, 2023 - Elsevier
Industrial networks, and more particularly, industrial control systems (ICSs) and industrial
Internet of things (IIoT), are no longer isolated environments. The rapid increase of functional …

Resilience-based design of infrastructure: Review of models, methodologies, and computational tools

M Shadabfar, M Mahsuli, Y Zhang, Y Xue… - ASCE-ASME Journal …, 2022 - ascelibrary.org
The quest to answer the longstanding question of how safe is safe enough has led to an
evolution of design philosophies. The traditional philosophy has been based on ensuring …

Numerically efficient computation of the survival signature for the reliability analysis of large networks

J Behrensdorf, TE Regenhardt, M Broggi… - Reliability Engineering & …, 2021 - Elsevier
Societal growth thrives on the performance of critical infrastructure systems such as water
supply systems, transportation networks or electrical distribution systems. This makes the …

A machine learning approach for real‐time selection of preventive actions improving power network resilience

M Noebels, R Preece, M Panteli - … Generation, Transmission & …, 2022 - Wiley Online Library
Power outages due to cascading failures which are triggered by extreme weather pose an
increasing risk to modern societies and draw attention to an emerging need for power …

Estimating resilience of manufacturing plants to physical disruptions: Model and application

AC Caputo, L Donati, P Salini - International Journal of Production …, 2023 - Elsevier
The concept of Resilience is gaining an increasing importance in industrial systems, service
networks and supply chains, as it extends traditional risk assessment methods by capturing …

Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty

P Wei, F Liu, M Valdebenito, M Beer - Mechanical Systems and Signal …, 2021 - Elsevier
Efficient propagation of imprecise probability models is one of the most important, yet
challenging tasks, for uncertainty quantification in many areas and engineering practices …

Time-dependent resilience of repairable structures subjected to nonstationary load and deterioration for analysis and design

C Wang, BM Ayyub - ASCE-ASME Journal of Risk and Uncertainty …, 2022 - ascelibrary.org
Civil structures and infrastructures are often subjected by design to the impacts of natural
and human-caused hazardous events, and accordingly may suffer from damages …

[HTML][HTML] Multidimensional resilience decision-making for complex and substructured systems

J Salomon, J Behrensdorf, N Winnewisser… - Resilient Cities and …, 2022 - Elsevier
Complex systems, such as infrastructure networks, industrial plants and jet engines, are of
paramount importance to modern societies. However, these systems are subject to a variety …

Resilience assessment and importance measure for interdependent critical infrastructures

X Liu, YP Fang, E Ferrario, E Zio - … -ASME Journal of …, 2021 - asmedigitalcollection.asme.org
Based upon a novel control-based dynamic modeling framework, this paper proposes two
new indicators, ie, resilience by mitigation and resilience by recovery, for the resilience …

Decision-making under uncertainty on preventive actions boosting power grid resilience

M Noebels, J Quirós-Tortós, M Panteli - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
The growing impact of weather-related power outages on economy and society in the last
decades underlines the rising need for power system resilience. Power system resilience …