Apriori algorithm-based statistical analysis of hydrogen accidents
To explore the correlation between different characteristic factors of hydrogen accidents,827 safety accidents involving hydrogen systems were used as the data set to statistically analyze the characteristic factors such as accident date,application stage,ignition source,accident causes and consequences.First,a network of association rules for accident causation was constructed to discuss accident causation relevance.Then,the causes and consequences of the accident were analyzed interactively.Finally,Apriori algorithm-based association rule mining was performed on six types of characteristic factors of hydrogen accidents.The results show that six accident causation combinations,such as equipment failure and design error,operational error and accidental reaction,are the most highly correlated among hydrogen safety accidents.Unignited hydrogen release is strongly associated with eight factors,like pressure relief devices and ventilation systems.Hydrogen fires are strongly associated with nine factors,like bolts and spontaneous combustion.And hydrogen explosions are strongly associated with five factors,like hydrogen production,electrical sparks,and compressors.
NETL
NSTL
万方数据
