留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于模糊关联分类器的民机超限事件诊断方法

高小霞 霍纬纲 冯兴杰

高小霞, 霍纬纲, 冯兴杰等 . 基于模糊关联分类器的民机超限事件诊断方法[J]. 北京航空航天大学学报, 2014, 40(10): 1366-1371. doi: 10.13700/j.bh.1001-5965.2013.0656
引用本文: 高小霞, 霍纬纲, 冯兴杰等 . 基于模糊关联分类器的民机超限事件诊断方法[J]. 北京航空航天大学学报, 2014, 40(10): 1366-1371. doi: 10.13700/j.bh.1001-5965.2013.0656
Gao Xiaoxia, Huo Weigang, Feng Xingjieet al. Civil aircraft's exceedance event diagnosis method based on fuzzy associative classifier[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1366-1371. doi: 10.13700/j.bh.1001-5965.2013.0656(in Chinese)
Citation: Gao Xiaoxia, Huo Weigang, Feng Xingjieet al. Civil aircraft's exceedance event diagnosis method based on fuzzy associative classifier[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1366-1371. doi: 10.13700/j.bh.1001-5965.2013.0656(in Chinese)

基于模糊关联分类器的民机超限事件诊断方法

doi: 10.13700/j.bh.1001-5965.2013.0656
基金项目: 国家自然科学基金资助项目(61301245,61201414,61202018);国家自然科学基金委员会与中国民用航空局联合基金资助项目(U1233113,61179063);中央高校基本科研业务费中国民航大学专项资助项目(ZXH2012N001)
详细信息
    作者简介:

    高小霞(1980-),女,河北临城人,实验师,xxgao@cauc.edu.cn.

  • 中图分类号: TP18

Civil aircraft's exceedance event diagnosis method based on fuzzy associative classifier

  • 摘要: 现有的民用飞机超限事件智能诊断模型大多属于“黑盒”模型,不利于分析超限事件发生的原因.为此提出了一种基于模糊关联分类器(FAC,Fuzzy Associative Classifier)的民用飞机超限事件诊断方法.该方法抽取发生超限事件时对应的QAR(Quick Access Recorder)参数快照取值,采用模糊C均值(FCM,Fuzzy C-Means)聚类算法对抽取的QAR参数取值模糊预处理,然后基于Apriori算法生成模糊关联分类规则库,并由遗传算法对其进行裁剪,结合模糊分类推理方法形成FAC.采用B737-800实际样本数据进行了验证.实验结果表明,所提出的FAC能有效诊断超限事件,FAC识别超限事件的错误率与最小二乘支持向量机(LS-SVM,Least Squares Support Vector Machine)模型相当,但其解释性方面优于LS-SVM.

     

  • [1] Bay S D, Schwabacher M.Mining distance-based outliers in near linear time with randomization and a simple pruning rule[C]//Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York:ACM,2003:29-38
    [2] Iverson D L. Inductive system health monitoring[C]//Proceedings of the International Conference on Artificial Intelligence,IC-AI'04.Las Vegas:CSREA Press,2004:605-611
    [3] Budalakoti S, Srivastava A N,Otey M E.Anomaly detection and diagnosis algorithms for discrete symbol sequences with applications to airline safety[J].IEEE Transactions on Systems,Man,and Cybernetics,Part C:Applications and Reviews,2009, 39(1): 101-113
    [4] Das S,Matthews B L, Srivastava A N,et al.Multiple kernel learning for heterogeneous anomaly detection:algorithm and aviation safety case study[C]//16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,KDD-2010.New York:ACM,2010:47-56
    [5] Smart E, Brown D,Denman J.Combining multiple classifiers to quantitatively rank the impact of abnormalities in flight data[J].Applied Soft Computing,2012,12(8):2583-2592
    [6] 聂磊,黄圣国,舒平,等. 基于支持向量机的民用飞机重着陆智能诊断研究[J].中国安全科学学报,2009,19(7):149-153 Nie Lei,Huang Shengguo,Shu Ping,et al.Intelligent diagnosis for hard landing of aircraft based on SVM[J].China Safety Science Journal,2009,19(7):149-153(in Chinese)
    [7] 许桂梅,黄圣国. 基于优化支持向量机的飞机重着陆智能诊断[J].计算机测量与控制,2011,19(2):256-259 Xu Guimei,Huang Shengguo.Airplane' s hard landing diagnosis based on optimized support vector machine[J].Computer Measurement & Control,2011,19(2):256-259(in Chinese)
    [8] 曹海鹏,舒平, 黄圣国.基于神经网络的民用飞机重着陆诊断技术研究[J].计算机测量与控制,2008,16(7):906-908 Cao Haipeng,Shu Ping,Huang Shengguo.Study of aircraft hard landing diagnosis based on neural network[J].Computer Measurement & Control,2008,16(7):906-908(in Chinese)
    [9] 祁明亮,邵雪焱, 池宏.QAR超限事件飞行操作风险诊断方法[J].北京航空航天大学学报,2011,37(10):1207-1210 Qi Mingliang,Shao Xueyan,Chi Hong.Flight operations risk diagnosis method on quick access record exceedance[J].Journal of Beijing University of Aeronautics and Astronautics,2011, 37(10): 1207-1210(in Chinese)
    [10] 董杰,韩敏. 基于自适应区间划分的模糊关联分类[J].系统仿真学报,2009,21(9):2675-2678 Dong Jie,Han Min.Fuzzy associative classification based on adaptive interval partition[J].Journal of System Simulation,2009,21(9):2675-2678(in Chinese)
    [11] 董杰,沈国杰. 一种基于模糊关联分类的遥感图像分类方法[J].计算机研究与发展,2012,49(7):1500-1506 Dong Jie,Shen Guojie.Remote sensing image classification based on fuzzy associative classification[J].Journal of Computer Research and Development,2012,49(7):1500-1506(in Chinese)
    [12] 霍纬纲,邵秀丽. 一种基于多目标进化算法的模糊关联分类方法[J].计算机研究与发展,2011,48(4):567-575 Huo Weigang,Shao Xiuli.A fuzzy associative classification method based on multi-objective evolutionary algorithm[J].Journal of Computer Research and Development,2011,48(4):567-575(in Chinese)
    [13] Alcalá-Fdez J, Alcalá R,Herrera F.A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning[J].IEEE Transactions on Fuzzy Systems,2011,19(5):857-872
    [14] 霍纬纲,高小霞. 一种适用于多类不平衡数据集的模糊关联分类方法[J].控制与决策,2012,27(12):1833-1838 Huo Weigang,Gao Xiaoxia.A fuzzy associative classification method for multi-class imbalanced dataset[J].Control & Decision,2012,27(12):1833-1838(in Chinese)
    [15] Pach F P, Gyenesei A,Abonyi J.Compact fuzzy association rule-based classifier[J].Expert Systems with Application,2008, 34(4): 2406-2416

  • 加载中
计量
  • 文章访问数:  1053
  • HTML全文浏览量:  170
  • PDF下载量:  596
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-11-18
  • 网络出版日期:  2014-10-20

目录

    /

    返回文章
    返回
    常见问答