[1] Liu Yi, Li Aiqun, Fei Qingguo, Ding Youliang, et al. Feature extraction and damage alarming using time series analysis [J]. Journal of Southeast University (English Edition), 2007, 23 (1): 86-91. [doi:10.3969/j.issn.1003-7985.2007.01.018]
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Feature extraction and damage alarming using time series analysis(
)
一种利用时间序列分析的特征提取与损伤预警方法
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 23
- Issue:
- 2007 1
- Page:
- 86-91
- Research Field:
- Civil Engineering
- Publishing date:
- 2007-03-30
Info
- Title:
- Feature extraction and damage alarming using time series analysis
- 一种利用时间序列分析的特征提取与损伤预警方法
- Author(s):
- Liu Yi; Li Aiqun; Fei Qingguo; Ding Youliang
- Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing 210096, China
- PACS:
- TU311
- DOI:
- 10.3969/j.issn.1003-7985.2007.01.018
- Abstract:
- Aiming at the problem of on-line damage diagnosis in structural health monitoring(SHM), an algorithm of feature extraction and damage alarming based on auto-regressive moving-average(ARMA)time series analysis is presented.The monitoring data were first modeled as ARMA models, while a principal-component matrix derived from the AR coefficients of these models was utilized to establish the Mahalanobis-distance criterion functions.Then, a new damage-sensitive feature index DDSF is proposed.A hypothesis test involving the t-test method is further applied to obtain a decision of damage alarming as the mean value of DDSF had significantly changed after damage.The numerical results of a three-span-girder model shows that the defined index is sensitive to subtle structural damage, and the proposed algorithm can be applied to the on-line damage alarming in SHM.
- 针对结构健康监测中如何基于在线监测数据实现损伤诊断的问题, 提出了一种利用时间序列分析ARMA模型的特征提取和损伤预警方法.首先对所有监测数据样本建立ARMA模型, 以模型中AR部分参数的主成分矩阵构建Mahalanobis距离判别函数, 提出了一种新的结构损伤敏感指标DDSF.然后, 采用t-检验考察该指标在损伤前后是否存在显著性变化, 从而可以有效地实现结构损伤预警.三跨连续梁数值算例表明, 提出的结构损伤特征指标对结构的微小损伤具有敏感性, 具备结构在线实时损伤预警的应用价值.
References:
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Memo
- Memo:
- Biographies: Liu Yi(1980—), male, graduate;Li Aiqun(corresponding author), male, doctor, professor, aiqunli@seu.edu.cn.