[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()

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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

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

Keywords:

feature extraction;  damage alarming;  time series analysis;  structural health monitoring

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 D_DSF 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 D_DSF 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.

References:

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[3] Lei Y, Kiremidjian A S, Nair K K, et al.Statistical damage detection using time series analysis on a structural health monitoring benchmark problem [C]//Proc of the 9th International Conference on Application of Statistics and Probability in Civil Engineering.San Francisco, USA, 2003:581-587.
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[6] Ou J P, He L, Xiao Y Q.Parameter identification of offshore platform structure using time series models and technology of extracting free vibration signal [J]. Applied Mathematical and Mechanics, 2003, 24(4):398-404.
[7] Nair K K, Kiremidjian A S, Law K H.Time series based damage detection algorithm with application to the ASCE benchmark structure [C]//Augusti G, Schueller G I, Ciampoli, eds.The 9th International Conference on Structural Safety and Reliability(ICOSSAR 2005).Rotterdam:Millpress, 2005:761-768.
[8] Rice J A.Mathematical statistics and data analysis [M].2nd ed.Belmont:Duxbury Press, 1999.
[9] Gentile A, Messina A.On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in damaged beams [J]. International Journal of Solid and Structures, 2003, 40(2):295-315.

Memo

Memo:

Biographies: Liu Yi(1980—), male, graduate;Li Aiqun(corresponding author), male, doctor, professor, aiqunli@seu.edu.cn.

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