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基于多信号流图的诊断贝叶斯网络建模

代 京 于劲松 张 平 李行善

代 京, 于劲松, 张 平, 等 . 基于多信号流图的诊断贝叶斯网络建模[J]. 北京航空航天大学学报, 2009, 35(4): 472-475.
引用本文: 代 京, 于劲松, 张 平, 等 . 基于多信号流图的诊断贝叶斯网络建模[J]. 北京航空航天大学学报, 2009, 35(4): 472-475.
Dai Jing, Yu Jinsong, Zhang Ping, et al. Diagnostic Bayesian networks modeling based on multi-signal flow graphs[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(4): 472-475. (in Chinese)
Citation: Dai Jing, Yu Jinsong, Zhang Ping, et al. Diagnostic Bayesian networks modeling based on multi-signal flow graphs[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(4): 472-475. (in Chinese)

基于多信号流图的诊断贝叶斯网络建模

详细信息
    作者简介:

    代 京(1977-),男,北京人,博士生,daijing@tom.com.

  • 中图分类号: TP 277

Diagnostic Bayesian networks modeling based on multi-signal flow graphs

  • 摘要: 多信号流图与贝叶斯网络是两种不同的建模方法,对两种建模方法的异同分析表明多信号流图到贝叶斯网络的转化是可行的.为了降低诊断贝叶斯网络模型的开发费用,提出了一种基于多信号流图的诊断贝叶斯网络建模方法,从模型结构和模型参数两个方面论述了多信号流图向诊断贝叶斯网络的转化方法.依据该方法生成的诊断贝叶斯网络模型具有应对复杂系统故障诊断的证据冲突及不确定性问题的优点.实验证明所获得的诊断贝叶斯网络模型的诊断准确性与多信号流图模型一致.

     

  • [1] Deb S, Pattipati K R, Raghavan V, et al. Multi-signal flow graphs: a novel approach for system testability analysis and fault diagnosis[J]. IEEE Aerospace and Electronic Systems Magazine,1995,10(5):14-25 [2] Pearl J. Probabilistic reasoning in intelligence systems: networks of plausible inference[M]. San Francisco: Morgan Kaufmann, 1988 [3] Przytula K W, Milford R. An efficient framework for the conversion of fault trees to diagnostic Bayesian network models Proceedings of 2006 IEEE Aerospace Conference. Piscataway, NJ: IEEE Press, 2006:1-14 [4] Przytula K W, Thompson D. Development of Bayesian diagnostic models using troubleshooting flow diagrams Proceedings of 2001 SPIE AeroSense. Orlando: SPIE Press, 2001:110-120 [5] Bangs O, Wuillemin P H. Top-down construction and repetitive structures representation in Bayesian networks Proceedings of the 13th International Artificial Intelligence Research Society Conference. Florida: AAAI Press, 2000: 282-286 [6] Lerner U, Parr R, Koller D, et al. Bayesian fault detection and diagnosis in dynamic systems Proc of the 17th National Conference on AI. Austin: AAAI Press,2000:531-537 [7] Langseth H, Bangs O. Parameter learning in object-oriented Bayesian networks[J]. Annals of Mathematics and Artificial Intelligence, 2001,32(1-4):221-243 [8] 龚勇,景小宁,陈云翔,等.基于多信号流图的飞控系统实时故障诊断[J].电光与控制, 2006, 13(6):89-92 Gong Yong, Jing Xiaoning, Chen Yunxiang, et al. Real-time fault diagnosis for flight control system based on multi-signal flow graphs[J]. Electronics Optics & Control,2006,13(6):89-92(in Chinese)
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出版历程
  • 收稿日期:  2008-04-07
  • 网络出版日期:  2009-04-30

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