Systems resilience assessments: a review, framework and metrics

Y Cheng, EA Elsayed, Z Huang - International Journal of …, 2022 - Taylor & Francis
The past several decades have witnessed an increasing number of natural and manmade
hazards with a dramatic impact on the normal operations of the society. The occurrences of …

Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence

X Han, Z Wang, M Xie, Y He, Y Li, W Wang - Reliability Engineering & …, 2021 - Elsevier
The performance states of the manufacturing equipment and the quality states of the
manufactured products are important indicators for the operational state evaluation and …

Reliability analysis of complex multi-state system with common cause failure based on evidential networks

J Mi, YF Li, W Peng, HZ Huang - Reliability Engineering & System Safety, 2018 - Elsevier
With the increasing complexity and size of modern advanced engineering systems, the
traditional reliability theory cannot characterize and quantify the complex characteristics of …

Resilience-based network component importance measures

K Barker, JE Ramirez-Marquez, CM Rocco - Reliability Engineering & …, 2013 - Elsevier
Disruptive events, whether malevolent attacks, natural disasters, manmade accidents, or
common failures, can have significant widespread impacts when they lead to the failure of …

Resilience-based component importance measures for critical infrastructure network systems

YP Fang, N Pedroni, E Zio - IEEE Transactions on Reliability, 2016 - ieeexplore.ieee.org
In this paper, we propose two metrics, ie, the optimal repair time and the resilience reduction
worth, to measure the criticality of the components of a network system from the perspective …

A model to quantify the resilience of mass railway transportation systems

K Adjetey-Bahun, B Birregah, E Châtelet… - Reliability Engineering & …, 2016 - Elsevier
Traditional risk management approaches focus on perturbation events׳ likelihood and their
consequences. However, recent events show that not all perturbation events can be …

Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning

Y Zhou, B Li, TR Lin - Reliability Engineering & System Safety, 2022 - Elsevier
The Markov decision process (MDP) is a widely used method to optimise the maintenance of
multicomponent systems, which can provide a system-level maintenance action at each …

[图书][B] Importance measures in reliability, risk, and optimization: principles and applications

W Kuo, X Zhu - 2012 - books.google.com
This unique treatment systematically interprets a spectrum of importance measures to
provide a comprehensive overview of their applications in the areas of reliability, network …

A Monte-Carlo simulation approach for approximating multi-state two-terminal reliability

JE Ramirez-Marquez, DW Coit - Reliability Engineering & System Safety, 2005 - Elsevier
This paper describes a Monte-Carlo (MC) simulation methodology for estimating the
reliability of a multi-state network. The problem under consideration involves multi-state two …

Importance measures for critical components in complex system based on Copula Hierarchical Bayesian Network

R Chen, C Zhang, S Wang, E Zio, H Dui… - Reliability Engineering & …, 2023 - Elsevier
In order to identify the vulnerable components and ensure the required reliability of
mechatronics systems, importance measures of critical components are crucially used in the …