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Reliability and availability evaluation on hydraulic system of ship controllable pitch propeller based on evidence theory and dynamic Bayesian network
X Bai, H Ling, X Luo, Y Li, L Yang, J Kang - Ocean Engineering, 2023 - Elsevier
The hydraulic system is the main power source for the pitch adjustment of the ship's
controllable pitch propeller. The stable operation of the system is the guarantee of ship …
controllable pitch propeller. The stable operation of the system is the guarantee of ship …
Dynamic availability analysis using dynamic Bayesian and evidential networks
The probabilistic modelling is widely used in engineering practices, especially for assessing
the safety and reliability of complex systems. Dynamic evidential network (DEN) can …
the safety and reliability of complex systems. Dynamic evidential network (DEN) can …
Integrating fuzzy logic and multi‐criteria decision‐making in a hybrid FMECA for robust risk prioritization
Failure mode effects and criticality analysis (FMECA) is widely employed across industries to
recognize and reduce possible failures. Despite its extensive usage, FMECA encounters …
recognize and reduce possible failures. Despite its extensive usage, FMECA encounters …
An extended FMECA approach using new risk assessment and prioritization based approach
M Chennoufi, A Chakhrit - International Journal of Information Technology, 2024 - Springer
This study develops a new hybrid multi-criticality approach to enhance the use of the
traditional Failure Mode, Effects and Criticality Analysis (FMECA) method. The proposed …
traditional Failure Mode, Effects and Criticality Analysis (FMECA) method. The proposed …
Dynamic availability assessment using dynamic evidential network: water deluge system case study
Probabilistic modeling is widespread in engineering practices, mainly to evaluate the safety,
risk analysis, and reliability of complex systems. However, insufficient data makes it difficult …
risk analysis, and reliability of complex systems. However, insufficient data makes it difficult …
State estimation via prediction-based scheme for linear time-varying uncertain networks with communication transmission delays and stochastic coupling
B Xu, J Hu, C Jia, Z Cao, J Huang - Systems Science & Control …, 2021 - Taylor & Francis
In this paper, the design problem of recursive state estimation algorithm based on delay-
prediction compensation is considered for a class of linear time-varying uncertain dynamical …
prediction compensation is considered for a class of linear time-varying uncertain dynamical …
Environmental impact assessment approach to dynamic safety evaluation: a liquefied natural gas plant case study
Industrial discharges pose global ecological risks. This study investigates Algeria's GL1K
(gas liquification complex of Skikda) plant's hazardous effluents. The impact assessment …
(gas liquification complex of Skikda) plant's hazardous effluents. The impact assessment …
Evidence Network Inference Recognition Method Based on Cloud Model
H Wang, X Guan, X Yi - Electronics, 2023 - mdpi.com
Uncertainty is widely present in target recognition, and it is particularly important to express
and reason the uncertainty. Based on the advantage of the evidence network in uncertainty …
and reason the uncertainty. Based on the advantage of the evidence network in uncertainty …
Risk analysis-based reliability assessment approach under epistemic uncertainty using a dynamic evidential network
Probabilistic modeling is widely used in industrial practices, particularly for assessing
complex systems' safety, risk analysis, and reliability. Conventional risk analysis …
complex systems' safety, risk analysis, and reliability. Conventional risk analysis …
La contribution à la maitrise des risques des systèmes complexes.
M Bougofa, A Bellaouar - 2021 - depot.umc.edu.dz
Résumé La modélisation probabiliste est largement utilisée dans les pratiques d'ingénierie,
notamment pour évaluer la sécurité et la sûreté de fonctionnement des systèmes complexes …
notamment pour évaluer la sécurité et la sûreté de fonctionnement des systèmes complexes …