Cargando…
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...
Autores principales: | Du, Junwei, Zhao, Hanrui, Yu, Yangyang, Hu, Qiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
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 |
Ejemplares similares
-
A Sensor Fault-Tolerant Accident Diagnosis System
por: Choi, Jeonghun, et al.
Publicado: (2020) -
A Causation Analysis of Chinese Subway Construction Accidents Based on Fault Tree Analysis-Bayesian Network
por: Qie, Zijun, et al.
Publicado: (2022) -
Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants
por: Huh, Da-An, et al.
Publicado: (2019) -
Accidents in the Extraction of Teeth
Publicado: (1846) -
Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP–LOPA, bow tie model
por: Xu, Qingwei, et al.
Publicado: (2018)