基于信息融合技术的结构损伤检测方法

井立 1,2,杨智春 1,张甲奇 2

振动与冲击 ›› 2018, Vol. 37 ›› Issue (7) : 91-95.

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (7) : 91-95.
论文

基于信息融合技术的结构损伤检测方法

  • 井立 1,2 ,杨智春 1,张甲奇 2
作者信息 +

Structural damage detection method based on information fusion

  •   JING Li 1,2  YANG Zhichun1  ZHANG Jiaqi 2
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文章历史 +

摘要

在结构损伤检测领域,不同的损伤检测方法对结构的损伤敏感程度不同,为了提高结构损伤检测的准确率,本文将信息融合技术应用在结构损伤检测当中。利用加权平均法、简单投票法和D-S证据理论在不同层次进行信息融合,得到结构的损伤状态。通过蜂窝夹层复合材料梁损伤检测实验对验证本文方法的可行性和有效性,结果表明本文提出的方法可以准确的判断出结构是否发生损伤以及损伤的位置。

Abstract

In the field of structural damage detection, different damage detection methods have different sensitive level to structural damage. In order to improve the accuracy of structural damage detection, information fusion technology was used in structural damage detection here. Using the weighted average method, the simply voting method and the D-S evidence theory, information was fused at different levels, structural damage state was obtained. The feasibility and effectiveness of the proposed method were verified using honeycomb sandwich composite beams damage detection tests. The results showed that the proposed method can accurately figure out if structural damage happens and structural damage’s position.


关键词

结构损伤检测 / 信息融合 / D-S证据理论

Key words

structural damage detection / information fusion / D-S evidence theory

引用本文

导出引用
井立 1,2,杨智春 1,张甲奇 2. 基于信息融合技术的结构损伤检测方法[J]. 振动与冲击, 2018, 37(7): 91-95
JING Li 1,2 YANG Zhichun1 ZHANG Jiaqi 2 . Structural damage detection method based on information fusion[J]. Journal of Vibration and Shock, 2018, 37(7): 91-95

参考文献

[1] YANG Zhi-chun, YU Zhe-feng, SUN Hao. On the cross correlation function amplitude vector and its application to structural damage detection[J]. Mechanical Systems and Signal Processing, 2007, 21(7): 2918-2932.
[2] WANG Le, Yang Zhi-chun, Waters T P. Structural damage detection using cross correlation functions of vibration response[J]. Journal of Sound and Vibration, 2010, 329(24): 5070-5086.
[3] YANG Zhi-chun, WANG Le, Wang H, et al. Damage detection in composite structures using vibration response under stochastic excitation[J]. Journal of sound and vibration, 2009, 325(4): 755-768.
[4] 井立. 结构损伤检测的信息融合方法[D]. 西安:西北工业大学,2015
   JING Li. Structural Damage Detection Method Based on Information Fusion[D]. Xi’an:Northwestern Ploytechnical University. 2015
[5] Xu Z D, Wu Z. Energy damage detection strategy based on acceleration responses for long-span bridge structures[J]. Engineering Structures, 2007, 29(4): 609-617.
[6] 姜绍飞, 王留生, 殷晓志, 等. 结构健康监测中的数据融合技术[J]. 沈阳建筑大学学报: 自然科学版, 2005, 21(1): 18-22.
   JIANG Shao-fei,WANG Liu-sheng,YIN Xiao-zhi ,et al. Data fusion technology in structural health monitoring.Journal of Shenyang Jianzhu University Natural Science,2005,21(1):18-22
[7] 姜绍飞, 张帅. 基于模糊神经网络的数据融合结构损伤识别方法[J]. 工程力学, 2008, 25(2): 95-101.
   Jiang Shao-fei, Zhang Shuai.Structural Damage Identification Method with Data Fusion of Fuzzy Neural Network[J].  Engineering Mechanics, 2008, 25(2): 95-101.
[8] 谭青, 向阳辉. 加权证据理论信息融合方法在故障诊断中的应用[J]. 振动与冲击, 2008, 27(4): 112-116.
    Tan Qing, Xiang Yang-hui. Application of Weighted Evidence Theory Information Fusion Method in Fault Diagnosis[J]. Journal of Vibration and Shock, 2008, 27(4): 112-116.
[9] Bao Y, Li H, An Y, et al. Dempster–Shafer evidence theory approach to structural damage detection[J]. Structural Health Monitoring, 2011: 1475921710395813.
[10] Guo H Y. Structural damage detection using information fusion technique[J]. Mechanical Systems and Signal Processing, 2006, 20(5): 1173-1188.
[11] Chan P K, Stolfo S J. A comparative evaluation of voting and meta-learning on partitioned data[C]//ICML. 1995: 90-98.
[12] Shafer G. A. Shafer G. A mathematical theory of evidence[M]. Princeton: Princeton university press, 1976. 
 
 

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