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两级证据组合方法在结构损伤检测中的应用研究

李逸 闫云聚

李逸, 闫云聚. 两级证据组合方法在结构损伤检测中的应用研究[J]. 应用数学和力学, 2014, 35(2): 226-232. doi: 10.3879/j.issn.1000-0887.2014.02.011
引用本文: 李逸, 闫云聚. 两级证据组合方法在结构损伤检测中的应用研究[J]. 应用数学和力学, 2014, 35(2): 226-232. doi: 10.3879/j.issn.1000-0887.2014.02.011
LI Yi, YAN Yun-ju. Application of Two-Level Combination Method for Evidence Theory to Structural Damage Detection[J]. Applied Mathematics and Mechanics, 2014, 35(2): 226-232. doi: 10.3879/j.issn.1000-0887.2014.02.011
Citation: LI Yi, YAN Yun-ju. Application of Two-Level Combination Method for Evidence Theory to Structural Damage Detection[J]. Applied Mathematics and Mechanics, 2014, 35(2): 226-232. doi: 10.3879/j.issn.1000-0887.2014.02.011

两级证据组合方法在结构损伤检测中的应用研究

doi: 10.3879/j.issn.1000-0887.2014.02.011
基金项目: 2012年度高等学校博士学科点专项科研基金(优先发展领域)(20126102130004)
详细信息
    作者简介:

    李逸(1990—),男,湖南人,硕士生(通讯作者. E-mail: 847558094@qq.com)

  • 中图分类号: TN919.5;O346.5

Application of Two-Level Combination Method for Evidence Theory to Structural Damage Detection

  • 摘要: 基于多源损伤信息的结构损伤识别方法可以有效克服单一损伤数据源判断识别精度不高、易出现误判等缺陷.此项技术的关键在于多损伤数据的有效融合处理.而作为数据融合的重要组成部分,证据理论在处理高度冲突的复杂数据情况下存在鲁棒性和与常识相悖的问题,基于对证据理论改进的两级组合方法,探讨了其在结构多损伤检测中的有效性.
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    [7] 张清华, 李乔, 唐亮. 基于证据理论的结构损伤识别研究[J]. 振动工程学报, 2007,20(2): 200-205.(ZHANG Qing-hua, LI Qiao, TANG Liang. Study of structural damage identification based on evidence theory[J]. Journal of Vibration Engineering,2007,20(2): 200-205.(in Chinese))
    [8] 金宏斌, 蓝江桥, 高效. 解决冲突证据的两级组合方法[J]. 计算机应用, 2010,30(10): 2588-2613.(JIN Hong-bin, LAN Jiang-qiao, GAO Xiao. Two-level combination approach for solving conflict evidences[J]. Journal of Computer Applications,2010,30(10): 2588-2613.(in Chinese))
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    [11] Smarandache F, Dezert J. Proportional conflict redistribution rules for information fusion[C]//Dezert J, Smarandache F, eds. Advances and Applications of DSmT for Information Fusion. Collected Works.Vol Ⅱ.Rehoboth: American Research Press, 2006,2: 3-68.
    [12] Van Norden W, Bolderheij F, Jonker C. Combining system and user belief on classification using the DSmT combination rule[C]//11th International Conference on Information Fusion . Cologne, Germany, 2008: 768-775.
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出版历程
  • 收稿日期:  2013-09-10
  • 修回日期:  2013-11-07
  • 刊出日期:  2014-02-15

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