Structural damage detection method based on information fusion

PDF(956 KB)

Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (7) : 91-95.

JING Li 1,2 YANG Zhichun1 ZHANG Jiaqi 2

Author information +

History +

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.

Key words

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

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

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

References

[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.