Y.-B. Liang’s scientific contributions

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Publications (1)


Online damage detection based on cointegration of frequencies under influence of environmental temperature
  • Article

January 2014

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28 Reads

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3 Citations

Dalian Ligong Daxue Xuebao/Journal of Dalian University of Technology

Y.-B. Liang

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D.-S. Li

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H.-N. Li

Structure frequency, which is always regarded as damage detection feature for its more convenient testability and higher measurement precision, is also susceptible to environmental and operational variations. The variations lead to frequency sequence non-stationary and make much disturbances for actual structure health monitoring and damage detection. So cointegration method in econometrics is introduced to deal with the non-stationary problem by the linear combination of non-stationary variables, thus the non-stationary problem for structure damage detection feature caused by environmental factor variation is transformed to stationary problem. At first, ADF (augmented Dickey-Fuller) test and EG (Engle-Granger) test are detailedly introduced to check non-stationary order of the feature sequence and calculate the cointegration coefficients. Next, the cointegration relationship between frequency sequences is verified using a simple supported beam and online damage detection procedure based on cointegration of frequency under the influence of environmental temperature is introduced. At last, the validity and robustness of the proposed method are illustrated through a prestressed concrete beam and a simple supported steel bridge.

Citations (1)


... A multinomial combination of non-linear signals was applied to the non-linear cointegration method. Diao et al. (2017) took the first-order coefficients of the auto regressive (AR) model based on the structural acceleration response data as a cointegrated variable to remove the temperature and mass effects on structural damage detection; Liang et al. (2014) took the natural frequency as a cointegrated variable. Although the EMI technique has been widely used for SHM and damage detection in recent years, the application of cointegration for EMI signatures is rarely reported. ...

Reference:

Removal of temperature effect in impedance-based damage detection using the cointegration method
Online damage detection based on cointegration of frequencies under influence of environmental temperature
  • Citing Article
  • January 2014

Dalian Ligong Daxue Xuebao/Journal of Dalian University of Technology