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Apriori algorithm-based statistical analysis of hydrogen accidents
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Xirui YU, Xu HE, Depeng KONG**
China Safety Science Journal | 2024, 34(4) : 128 - 134
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China Safety Science Journal | 2024, 34(4): 128-134
Safety engineering technology
Apriori algorithm-based statistical analysis of hydrogen accidents
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Xirui YU, Xu HE, Depeng KONG**
Affiliations
  • College of Mechanical and Electrical Engineering,China University of Petroleum,Qingdao Shandong 266580,China
Published: 2024-04-28 doi: 10.16265/j.cnki.issn1003-3033.2024.04.0839
Outline
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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.

Apriori algorithm  /  association rule  /  hydrogen accidents  /  statistical analysis  /  accident causation  /  interaction analysis
Xirui YU, Xu HE, Depeng KONG. Apriori algorithm-based statistical analysis of hydrogen accidents[J]. China Safety Science Journal, 2024 , 34 (4) : 128 -134 . DOI: 10.16265/j.cnki.issn1003-3033.2024.04.0839
Year 2024 volume 34 Issue 4
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.04.0839
  • Receive Date:2023-12-12
  • Online Date:2025-07-09
  • Published:2024-04-28
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  • Received:2023-12-12
  • Revised:2024-03-14
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    College of Mechanical and Electrical Engineering,China University of Petroleum,Qingdao Shandong 266580,China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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