Volume 41 Issue 6
Dec.  2023
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WANG Feiyin, YUAN Jintong, WANG Lei. Coupling Failure Mode and Risk Modeling of Typical Aircrafts Runway Excursion[J]. Journal of Transport Information and Safety, 2023, 41(6): 42-50. doi: 10.3963/j.jssn.1674-4861.2023.06.005
Citation: WANG Feiyin, YUAN Jintong, WANG Lei. Coupling Failure Mode and Risk Modeling of Typical Aircrafts Runway Excursion[J]. Journal of Transport Information and Safety, 2023, 41(6): 42-50. doi: 10.3963/j.jssn.1674-4861.2023.06.005
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Coupling Failure Mode and Risk Modeling of Typical Aircrafts Runway Excursion

doi: 10.3963/j.jssn.1674-4861.2023.06.005
  • 1.

    College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China

  • 2.

    National Key Laboratory of Air Traffic Operation Safety Technology, Tianjin 300300, China

  • 3.

    Key Laboratory of Airlines Artificial Intelligence of Civil Aviation of China, Tianjin 300300, China

  • Received Date: 2023-03-22
    Available Online: 2024-04-03
    Abstract
  • Runway excursion is identified as high-risk event by the International Air Transport Association. To explore the pattern of runway excursion incidents in global civil aviation and to explore the influencing factors and their coupling characteristics, the investigation reports of 57 runway excursion incidents of typical aircraft types from 2007 to 2018 are analyzed from the perspectives of number of casualties, aircraft types and causes of the incidents. The HFACS model and SHELL model are used to compensate for the limitations of using a single method considering the diversity and complexity of influencing factors of runway excursion incidents. Specifically, the HFACS model is optimized and adopted to vertically analyze the influence of human factors in the runway excursion event, change the traditional method of the SHELL model to analyze the coupling influence of multiple factors in the runway excursion event systematically and comprehensively and use the FMEA method to explore the coupling effect of multiple influencing factors in the runway excursion event and find 18 multifactor coupling failure modes that induce the runway excursion. The results showed that the risk priority of the failure modes is quantified by identifying the occurrence, severity, and detection of the failure modes. The results showed that 91.2% of the runway excursion events occurred in the landing phase, and 87.7% of the runway excursion events were related to the crew human influence, among which insufficient control of the aircraft occurred most frequently, accounting for 31.1%. Multi-factor coupling caused 78.9% of the events, and the risk priority value of failure mode F2-1 crew factors and meteorological factors in multi-factor coupling failure mode is the highest at 364.8, with an occurrence rate of 21.05%, which is the object that needs to be focused on prevention and control, indicating that pilots need to strengthen the simulation training of runway excursion under complex weather conditions.

     

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    • References(24)
  • [1]
    何鹏, 孙瑞山. 全球疫情下的航空安全前沿问题与研究趋势[J]. 交通信息与安全, 2021, 39 (4): 1-8. doi: 10.3963/j.jssn.1674-4861.2021.04.001

    HE P, SUN R S. Frontiers and research trends of aviation safety under the global epidemic[J]. Journal of Transport Information and Safety, 2021, 39 (4): 1-8. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2021.04.001
    [2]
    International Air Transport Association. 2021 safety report[R]. Montreal: International Air Transport Association, 2022.
    [3]
    霍志勤. 中国民航运输航空器偏/冲出跑道统计分析[J]. 中国安全生产科学技术, 2012, 8 (7): 127-132. https://www.cnki.com.cn/Article/CJFDTOTAL-LDBK201207029.htm

    HUO Z Q. Statistical analysis on runway excursion of transport aircraft in China[J]. Journal of Safety Science and Technology, 2012, 8 (7): 127-132. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-LDBK201207029.htm
    [4]
    孔祥骏. 冲偏出跑道事件预防研究[J]. 中国民用航空, 2009 (9): 34-36. https://www.cnki.com.cn/Article/CJFDTOTAL-MHJJ200909013.htm

    KONG X J. Study on preventing runway excursion[J]. China Civil Aviation, 2009 (9): 34-36. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-MHJJ200909013.htm
    [5]
    王洁宁, 张钰涵, 张聪俊. 基于STPA冲偏出跑道不安全控制行为分析[J]. 中国民航大学学报, 2019, 37 (6): 46-50. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGMH201906009.htm

    WANG J N, ZHANG Y H, ZHANG C J. Unsafe control action of runway excursion based on STPA[J]. Journal of Civil Aviation University of China, 2019, 37(6): 46-50. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGMH201906009.htm
    [6]
    张晓全, 李秋实. 基于WBA方法的冲出跑道事故风险管理研究[J]. 中国安全科学学报, 2012, 22 (11): 67-73. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201211012.htm

    ZHANG X Q, LI Q S. Study on risk management for overrun based on WBA[J]. China Safety Science Journal, 2012, 22 (11): 67-73. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201211012.htm
    [7]
    赵宁宁, 赵宇婷. 基于事故树和贝叶斯网络的飞机偏冲出跑道风险分析[J]. 安全与环境学报, 2014, 14 (3): 141-145. https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ201403033.htm

    ZHAO N N, ZHAO Y T. Risk analysis of the runway excursion and overrun event based on the fault tree and Bayesian networks[J]. Journal of Safety and Environment, 2014, 14 (3): 141-145. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ201403033.htm
    [8]
    ODISHO E V, TRUONG D, JOSLIN R E. Applying machine learning to enhance runway safety through runway excursion risk mitigation[J]. Journal of Aerospace Information Systems, 2022, 19 (2): 98-112. doi: 10.2514/1.I010972
    [9]
    ZHANG Y, SUN Y, CHEN Y. Aircraft runway excursion prediction model based on exponential weight[C]. 11th International Conference on Reliability, Maintainability and Safety (ICRMS), Hangzhou, China: IEEE, 2016.
    [10]
    CHANG Y H, YANG H H, HSIAO Y J. Human risk factors associated with pilots in runway excursions[J]. Accident Analysis & Prevention, 2016, 94: 227-237.
    [11]
    OLIVE X, BIEBER P. Quantitative assessments of runway excursion precursors using Mode S data[C]. International Conference for Research in Air Transportation. Barcelona: ICRAT, 2018.
    [12]
    DI MASCIO P, COSCIOTTI M, FUSCO R, et al. Runway veer-off risk analysis: an international airport case study[J]. Sustainability, 2020, 12 (22): 9360. doi: 10.3390/su12229360
    [13]
    DISTEFANO N, LEONARDI S. Apriori algorithm for association rules mining in aircraft runway excursions[J]. Civil Engineering and Architecture, 2020, 8 (3): 206-217. doi: 10.13189/cea.2020.080303
    [14]
    KETABDARI M, TORALDO E, CRISPINO M. Numerical risk analyses of the impact of meteorological conditions on probability of airport runway excursion accidents[C]. Computational Science and Its Applications-ICCSA 2020: 20th International Conference, Cagliari, Italy: ICCSA, 2020.
    [15]
    VOROBYEVA O, BARTOK J, ŠIŠAN P, et al. Assessing the contribution of data mining methods to avoid aircraft run-off from the runway to increase the safety and reduce the negative environmental Impacts[J]. International Journal of Environmental Research and Public Health, 2020, 17(3): 796. doi: 10.3390/ijerph17030796
    [16]
    WANG C, HOLZAPFEL F. Modeling of the aircraft landing behavior for runway excursion and abnormal runway contact analysis[C]. 2018 AIAA Modeling and Simulation Technologies Conference, Kissimmee: AIAA, 2018.
    [17]
    MAURO R, SHERRY L. Confronting functional complexity failures: the case of a runway excursion in munich[C]. The Human Factors and Ergonomics Society Annual Meeting, Los Angeles: HFES, 2019.
    [18]
    汪磊, 梁妍, 张楠, 等. 民航典型安保突发事件统计分析与防控策略[J]. 安全, 2022, 43 (7): 13-19, 12. https://www.cnki.com.cn/Article/CJFDTOTAL-ANQU202207002.htm

    WANG L, LIANG Y, ZHANG N, et al. Statistical analysis and prevention and control strategies of typical emergency in civil aviation safety & security[J]. Safety & Security, 2022, 43 (07): 13-19, 12. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ANQU202207002.htm
    [19]
    吴耀男, 林雷, 任新温, 等. 1种基于逻辑结构数的改进型FMEA方法[J]. 中国安全科学学报, 2021, 31 (10): 97-104. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK202110017.htm

    WU Y N, LIN L, REN X W, et al. An improved fmea method based on logical structure number[J]. China Safety Science Journal, 2021, 31 (10): 97-104. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK202110017.htm
    [20]
    余建星, 范海昭, 陈海成, 等. 海洋立管失效风险因素分析方法及应用[J]. 中国安全科学学报, 2021, 31 (11): 47-53.

    YU J X, FAN H Z, CHEN H C, et al. Risk factors analysis method of marine riser failure and its application[J]. China Safety Science Journal, 2021, 31 (11): 47-53. (in Chinese)
    [21]
    DISTEFANO N, LEONARDI S. Aircraft runway excursion features: a multiple correspondence analysis[J]. Aircraft Engineering and Aerospace Technology, 2019, 91 (1): 197-203.
    [22]
    OKAFOR E G, JEMITOLA P O, SOLADOYE M A. Assessment of runway excursion causal factors and mitigation strategies[J]. Nigerian Journal of Technology, 2018, 37(3): 619-625. doi: 10.4314/njt.v37i3.9
    [23]
    WANG L, ZHANG J. The effect of psychological risk elements on pilot flight operational performance[J]. Human Factors and Ergonomics in Manufacturing & Service Industries, 2020, 30 (1): 3-13.
    [24]
    GAO S, WANG L. Effects of mental workload and risk perception on pilots'safety performance in adverse weather contexts[C]. 22nd International Conference on Human-Computer Interaction, Copenhagen: HCⅡ, 2020.
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