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 …
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
The performance states of the manufacturing equipment and the quality states of the
manufactured products are important indicators for the operational state evaluation and …
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
With the increasing complexity and size of modern advanced engineering systems, the
traditional reliability theory cannot characterize and quantify the complex characteristics of …
traditional reliability theory cannot characterize and quantify the complex characteristics of …
Resilience-based network component importance measures
Disruptive events, whether malevolent attacks, natural disasters, manmade accidents, or
common failures, can have significant widespread impacts when they lead to the failure of …
common failures, can have significant widespread impacts when they lead to the failure of …
Resilience-based component importance measures for critical infrastructure network systems
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 …
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 …
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 …
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 …
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 …
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
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 …
mechatronics systems, importance measures of critical components are crucially used in the …