Enhancing aviation safety and mitigating accidents: A study on aviation safety hazard identification

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102732 - 102732

Опубликована: Июль 26, 2024

Язык: Английский

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Creating an Incident Investigation Framework for a Complex Socio-Technical System: Application of Multi-label Text Classification and Bayesian Network Structure Learning

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 110971 - 110971

Опубликована: Фев. 1, 2025

Язык: Английский

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A novel method for cause portrait of aviation unsafe events based on hierarchical multi-task convolutional neural network

Expert Systems with Applications, Год журнала: 2025, Номер 270, С. 126466 - 126466

Опубликована: Янв. 9, 2025

Язык: Английский

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A systematic procedure for the analysis of maintenance reports based on a taxonomy and BERT attention mechanism

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 110834 - 110834

Опубликована: Янв. 1, 2025

Язык: Английский

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Quantitative Analysis of Risk Coupling Effects in Highway Accidents: A Focus on Primary and Secondary Accidents

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3114 - 3114

Опубликована: Март 13, 2025

Analyzing risk coupling effects in highway accidents provides guidance for preventive decoupling measures. Existing studies rarely explore the differences between primary (PA) and secondary (SA) from a quantitative perspective. This study proposes method to measure of PA SA on highways examine their differences. A domain-pretrained named entity recognition (NER) model, TRBERT-BiLSTM-CRF, is proposed identify factors types based 431 accident investigation reports published by emergency management departments China. The N-K model was applied calculate values different scenarios SA, Wilcoxon signed-rank test performed them. Finally, were compared, targeted prevention recommendations are provided. results showed that our NER achieved best macro-F1 score traffic recognition. Most increased with number types, but value five lower than four factors, indicating do not always superimpose each other complex scenarios. Moreover, there significant mechanisms SA. suggest likelihood occurrences should be reduced through standardized vehicle inspections flexible control measures, respectively, thereby enhancing safety.

Язык: Английский

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Structural design of cellulose derivative-modified chitosan adsorbents for arsenic removal: Machine learning modeling, Box-Behnken design, Optuna hyperparameter tuning, and molecular dynamics

Biochemical Engineering Journal, Год журнала: 2025, Номер 221, С. 109800 - 109800

Опубликована: Май 20, 2025

Язык: Английский

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Next Frontiers of Aviation Safety: System-of-Systems Safety

Engineering, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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Multi-level information identification for civil aviation safety risks: A hierarchical multi-branch deep learning approach

Information Sciences, Год журнала: 2025, Номер unknown, С. 121888 - 121888

Опубликована: Янв. 1, 2025

Язык: Английский

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A metadata survey of photothermal membranes for solar-driven membrane distillation

Separation and Purification Technology, Год журнала: 2025, Номер unknown, С. 132565 - 132565

Опубликована: Март 1, 2025

Язык: Английский

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Research on Quantitative Analysis Method of China’s Civil Aviation Safety Policy Text

Lecture notes in mechanical engineering, Год журнала: 2025, Номер unknown, С. 373 - 385

Опубликована: Янв. 1, 2025

Язык: Английский

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