A Method to Extract Causality for Safety Events in Chemical Accidents from Fault Trees and Accident Reports

Chemical event evolutionary graph (CEEG) is an effective tool to perform safety analysis, early warning, and emergency disposal for chemical accidents. However, it is a complicated work to find causality among events in a CEEG. This paper presents a method to accurately extract event causality by us...

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Detalles Bibliográficos
Autores principales: Du, Junwei, Zhao, Hanrui, Yu, Yangyang, Hu, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321517/
https://www.ncbi.nlm.nih.gov/pubmed/32788919
http://dx.doi.org/10.1155/2020/7132072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321517/
https://www.ncbi.nlm.nih.gov/pubmed/32788919
http://dx.doi.org/10.1155/2020/7132072

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