An improved CREAM model for human reliability analysis in FPSO gas leakage response process DOI
Jianxing Yu,

Qingze Zeng,

Yang Yu

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 332, P. 121467 - 121467

Published: May 9, 2025

Language: Английский

Analysis of system resilience in escalation scenarios involving LH2 bunkering operations DOI Creative Commons
Federica Tamburini, Matteo Iaiani, Valerio Cozzani

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110816 - 110816

Published: Jan. 1, 2025

Language: Английский

Citations

3
A Comparative Assessment of Domino Accident Analysis Methods in Process Industries Using LMAW and DNMA Techniques DOI
Sarbast Moslem, Kamran Gholamizadeh, Esmaeil Zarei

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110981 - 110981

Published: Feb. 1, 2025

Language: Английский

Citations

0
Chemical process safety domain knowledge graph‐enhanced LLM for efficient emergency response decision support DOI
Chen Zheng, Guohua Chen, Honghao Chen

et al.

The Canadian Journal of Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Abstract Chemical process safety accidents are characterized by their sudden onset, rapid evolution, and severe consequences. Developing effective emergency response decisions for such complex dynamic incidents requires comprehensively considering various knowledge domains. Relying solely on expert experience plans often fails to meet the demands of response. To enhance efficiency decision‐making in chemical accidents, this study proposes a method that leverages graph (CPSKG) large language models (LLMs) generating reliable decisions. The proposed uses seven‐step approach designing scenario ontologies. By aligning with characteristics domain texts ontology framework, natural processing (NLP) retrieval‐augmented generation using graphs (Graph RAG) techniques employed construct semantically rich CPSKG. entities relationships within reasoning capabilities LLMs, facilitating efficient A case was conducted validate reliability approach. results demonstrate LLM enhanced CPSKG outperforms other more As key contribution, improves sharing while auxiliary

Language: Английский

Citations

0
An improved CREAM model for human reliability analysis in FPSO gas leakage response process DOI
Jianxing Yu,

Qingze Zeng,

Yang Yu

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 332, P. 121467 - 121467

Published: May 9, 2025

Language: Английский

Citations

0