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Pattern identification and risk assessment model of civil aircraft abnormal flight based on QAR
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Feiyin WANG1, Jintong YUAN1, 2, Xiaochen LIU1, Wei TAN1, Lei WANG1
China Safety Science Journal | 2025, 35(2) : 160 - 167
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China Safety Science Journal | 2025, 35(2): 160-167
Safety engineering technology
Pattern identification and risk assessment model of civil aircraft abnormal flight based on QAR
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Feiyin WANG1, Jintong YUAN1, 2, Xiaochen LIU1, Wei TAN1, Lei WANG1
Affiliations
  • 1 College of Safety Science and Engineering,Civil Aviation University of China,Tianjin 300300,China
  • 2 China Eastern Airlines Wuhan Co.,Ltd.,Wuhan Hubei 430300,China
Published: 2025-02-28 doi: 10.16265/j.cnki.issn1003-3033.2025.02.0779
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In order to assess and monitor flight risks in real-time,clustering analysis was utilized to explore the abnormal patterns embedded in QAR data,and the influencing factors of abnormal flight patterns of civil aircraft were analyzed. The Euclidean distance was employed to characterize the similarity between samples of QAR parameters,establishing an abnormal flight pattern recognition model based on K-means to define the deviation degree of abnormal patterns. By considering the number of fatal accidents and the proportion of deaths in global commercial jet accidents,in conjunction with the deviation degree of abnormal patterns,the duration of abnormal patterns,flight phases,the likelihood of unexpected safety events,and the severity of consequences following unexpected safety events,a quantified assessment method for civil aviation flight risks based on QAR data was proposed. The feasibility of abnormal flight pattern recognition and risk quantification models for civil aircraft was validated through the practical QAR data of a certain airline. The results indicate that abnormal patterns are more prevalent during the cruising phase and critical moments at the transitions between flight phases. Significant differences are observed in the distribution of abnormal flight patterns and risks across different flights and flight phases. The average total risk value for flights is 166.94,with outliers exceeding 386.97. The abnormal flight risk during the takeoff roll phase is relatively low,with an average of 5.95,while the risk during the cruising phase is relatively high,with an average of 93.46.

quick access recorder(QAR)  /  abnormal flight of civil aircraft  /  pattern recognition  /  risk assessment  /  cluster analysis
Feiyin WANG, Jintong YUAN, Xiaochen LIU, Wei TAN, Lei WANG. Pattern identification and risk assessment model of civil aircraft abnormal flight based on QAR[J]. China Safety Science Journal, 2025 , 35 (2) : 160 -167 . DOI: 10.16265/j.cnki.issn1003-3033.2025.02.0779
Year 2025 volume 35 Issue 2
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.02.0779
  • Receive Date:2024-09-10
  • Online Date:2025-07-05
  • Published:2025-02-28
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  • Received:2024-09-10
  • Revised:2024-11-13
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Affiliations
    1 College of Safety Science and Engineering,Civil Aviation University of China,Tianjin 300300,China
    2 China Eastern Airlines Wuhan Co.,Ltd.,Wuhan Hubei 430300,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
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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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