A multi-feature-based fault diagnosis method based on the weighted timeliness broad learning system

Process Safety and Environmental Protection, Год журнала: 2024, Номер 183, С. 231 - 243

Опубликована: Янв. 4, 2024

Язык: Английский

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Modeling and analysis of external emergency response to ship fire using HTCPN and Markov chain

Ocean Engineering, Год журнала: 2024, Номер 297, С. 117089 - 117089

Опубликована: Фев. 21, 2024

Язык: Английский

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A simulation-based approach for resilience assessment of process system: A case of LNG terminal system

Reliability Engineering & System Safety, Год журнала: 2024, Номер 249, С. 110207 - 110207

Опубликована: Май 21, 2024

Язык: Английский

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Quantitative assessment of human error of emergency behavior for hazardous chemical spills in chemical parks

Process Safety and Environmental Protection, Год журнала: 2024, Номер 189, С. 930 - 949

Опубликована: Июнь 30, 2024

Язык: Английский

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Risk assessment and simulation of gas pipeline leakage based on Markov chain theory

Journal of Loss Prevention in the Process Industries, Год журнала: 2024, Номер 91, С. 105370 - 105370

Опубликована: Июнь 12, 2024

Язык: Английский

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A novel risk assessment model of urban gas pipeline network in expansions by integrating the OPA method and GraphSAGE algorithm

Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 106849 - 106849

Опубликована: Янв. 1, 2025

Язык: Английский

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Modelling and Analysis of Emergency Scenario Evolution System Based on Generalized Stochastic Petri Net

Systems, Год журнала: 2025, Номер 13(2), С. 107 - 107

Опубликована: Фев. 10, 2025

Emergency scenario characterization and analysis is an essential approach to describing understanding the future development of emergencies assisting in response decision-making. This paper aims develop a method for emergency evolution scenario-based way improve “scenario response” A systematic conceptual framework (ESE) has been developed based on domain knowledge management disaster system, combined with representational ability element model. In addition, modelling ESE generalized stochastic Petri net (ESEGSPN) proposed depict evolutionary uncertainty through basic control flow optimize parameter using fuzzy theory. Finally, COVID-19 pandemic used as case study show how ESEGSPN works. The results indicate that can simulate process, identify critical states trigger actions, present trend typical elements, assist decision-makers deploying more targeted responses dynamically changing situations.

Язык: Английский

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Multiparametric Resilience Assessment of Chemical Process Systems Incorporating Process Dynamics and Independent Protection Layers

Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 107018 - 107018

Опубликована: Март 1, 2025

Язык: Английский

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Risk Analysis of Urban Low-Pressure Natural Gas Networks Based on Hybrid Dynamic Bayesian Networks

Journal of Loss Prevention in the Process Industries, Год журнала: 2025, Номер unknown, С. 105649 - 105649

Опубликована: Апрель 1, 2025

Язык: Английский

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Phase-based testability analysis of multi-function integrated RF system using generalized stochastic Petri net

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127819 - 127819

Опубликована: Апрель 1, 2025

Язык: Английский

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