Volume 31 Issue 08
Aug.  2005
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Luo Fan, Chen Xiaojia, Gu Bichonget al. Formation mechanism analysis of aviation calamity based on Bayesian network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(08): 934-938. (in Chinese)
Citation: Luo Fan, Chen Xiaojia, Gu Bichonget al. Formation mechanism analysis of aviation calamity based on Bayesian network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(08): 934-938. (in Chinese)

Formation mechanism analysis of aviation calamity based on Bayesian network

  • Received Date: 02 Dec 2004
  • Publish Date: 31 Aug 2005
  • In order to prevent the emergence of accident-inducing elements and control the further development of them, to improve aviation security management to be scientific and reliable, and decrease the accident rate and aviation calamity loss. It is a key of formation mechanism analysis to probe into interaction of the factors to cause an aviation calamity in accordance with the characteristics. Causality of the factors was analyzed and the interaction law of human, aircraft, environment and management factors is revealed by means of the application of both diagnosis and support inference form based on Bayesian network model. The effects coming from the connotative internal factors of the system were investigated, and the evolution process of the connotative factors from the uncertain state to the certain state and relationships between the external factors and the internal factors were found with formation mechanism analyses of a typical aviation calamity case according to Gauss Bayesian network.

     

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  • [1] Fusion P J. Propagation and structuring in belief networks[J]. Artificial Intelligence, 1986, 29(2):241~288 [2] Boudali H,Dugan J B. A discrete-time Bayesian network reliability modeling and analysis framework[J]. Reliability Engineering & System Safety,2005, 87(3):337~349 [3] Biedermann A,Taroni F,Delemont O, et al. The evaluation of evidence in the forensic investigation of fire incidents:an approach using Bayesian networks[J]. Forensic Science International, 2005, 147(1):49~58 [4] Cornalba Chiara1, Giudici Paolo. Statistical models for operational risk management[J]. Physica A, 2004, 338(1/2):166~172 [5] 王 辉. 用于预测的贝叶斯网络[J]. 东北师范大学 报(自然科学版), 2002,34(1):9~14 Wang Hui. The Bayesian network of being used forecasting[J]. Journal of Northeast Normal University(Nature Science Edition), 2002,34(1):9~14(in Chinese) [6] 臧玉卫,王 萍,吴育华. 贝叶斯网络在股指期货风险预警中的应用[J]. 科学学与科学技术管理,2003,24(10):122~125 Zang Yuwei, Wang Ping, Wu Yuhua. The application of Bayesian network to risks early warning of stock indexes and futures[J]. Science of Science and Managment of S & T,2003,24(10):122~125(in Chinese) [7] 胡玉胜,涂序彦,崔晓瑜,等.基于贝叶斯网络的不确定性知识的推理方法[J].计算机集成制造系统—CIMS,2001,7(12):65~68 Hu Yushen,Tu Xuyan, Cui Xiaoyu, et al. Knowledge Based on Bayes-Net Work . CIMS, 2001,7(12):65~68(in Chinese) [8] Shachter R D, Kenley C R. Gaussian influence diagrams[J]. Management Science, 1989, 35(5):527-550
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