Dependent failure behavior modeling for risk and reliability: A systematic and critical literature review
This paper presents a systematic and critical literature review on dependent failure behavior
modeling in risk and reliability. A literature search is conducted systematically based on pre …
modeling in risk and reliability. A literature search is conducted systematically based on pre …
[HTML][HTML] Review of advanced road materials, structures, equipment, and detection technologies
JREE Office, MC Cavalli, D Chen, Q Chen… - Journal of Road …, 2023 - Elsevier
As a vital and integral component of transportation infrastructure, pavement has a direct and
tangible impact on socio-economic sustainability. In recent years, an influx of …
tangible impact on socio-economic sustainability. In recent years, an influx of …
[HTML][HTML] Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems
Abstract Structural Health Monitoring (SHM) describes a process for inferring quantifiable
metrics of structural condition, which can serve as input to support decisions on the …
metrics of structural condition, which can serve as input to support decisions on the …
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance
Abstract Partially Observable Markov Decision Processes (POMDPs) can model complex
sequential decision-making problems under stochastic and uncertain environments. A main …
sequential decision-making problems under stochastic and uncertain environments. A main …
[HTML][HTML] Models and methods for probabilistic safety assessment of steel structures subject to fatigue
We review of the state of the art in probabilistic modelling for fatigue reliability of civil
engineering and offshore structures. The modelling of randomness and uncertainty in …
engineering and offshore structures. The modelling of randomness and uncertainty in …
A probabilistic analysis method based on Noisy-OR gate Bayesian network for hydrogen leakage of proton exchange membrane fuel cell
G Chen, G Li, M Xie, Q Xu, G Zhang - Reliability Engineering & System …, 2024 - Elsevier
The proton exchange membrane fuel cell (PEMFC) is one of the crucial power units of the
hydrogen vehicle. This work proposes a method based on the Noisy-OR gate Bayesian …
hydrogen vehicle. This work proposes a method based on the Noisy-OR gate Bayesian …
Deep reinforcement learning for intelligent risk optimization of buildings under hazard
Risk management often involves retrofit optimization to enhance the performance of
buildings against extreme events but may result in huge upfront mitigation costs. Existing …
buildings against extreme events but may result in huge upfront mitigation costs. Existing …
A stochastic track maintenance scheduling model based on deep reinforcement learning approaches
JS Lee, IH Yeo, Y Bae - Reliability Engineering & System Safety, 2024 - Elsevier
A data-driven railway track maintenance scheduling framework based on a stochastic track
deterioration model and deep reinforcement learning approaches is proposed. Various track …
deterioration model and deep reinforcement learning approaches is proposed. Various track …
A novel completion status prediction for the aircraft mixed-model assembly lines: A study in dynamic Bayesian networks
Y Yao, J Zhang, S Jiang, Y Li, T Long - Advanced Engineering Informatics, 2024 - Elsevier
In the context of Industry 4.0, amidst the normalization of multi-variety and low-volume
custom flexible production models, aircraft mixed-model assembly lines (AMMALs) have …
custom flexible production models, aircraft mixed-model assembly lines (AMMALs) have …
IMP-MARL: a suite of environments for large-scale infrastructure management planning via MARL
We introduce IMP-MARL, an open-source suite of multi-agent reinforcement learning
(MARL) environments for large-scale Infrastructure Management Planning (IMP), offering a …
(MARL) environments for large-scale Infrastructure Management Planning (IMP), offering a …