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Abstract

The Hilbert-Huang Transform (HHT) approach is used for signal processing to discover the possible damages existing in a structure. A program is written in Fortran and in Matlab, and then verified by two simple cases with known solutions. The HHT method is then utilized to analyze the actual benchmark data of UBC (University of British Columbia) for the purposes of structural health monitoring. The results demonstrate that HHT method has the capability of: (a) recovering the actual signals’ time-frequency feature; (b) detecting and locating the actual structural damages; (c) detecting the instant of the impact load or of the damage taking place in active structural health monitoring. The method of Empirical Mode Decomposition (EMD) is used to eliminate noise. Results show that EMD method is better than the Wavelet method for the de-noising purpose.

Keywords

HHT EMD time-frequency damage location

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References

Hera, A. , Hou, Z. and Noori, M. 2001. “Wavelet-Based Approach for ASCE Structural Health Monitoring Benchmark Studies,” In: Proceedings of The 3rd International Workshop on Structural Health Monitoring, Stanford University.

Huang, N. E. , Shen, Z. , Long, S. R. , Wu, M. C. , Shih, H. H. , Zheng, Q. , Yen, N. C. , Tung, C. C. and Liu, H. H. 1996. “The Empirical Mode Decomposition and The Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis,” In: Proceedings of the Royal Society, London, A454, pp. 903-995 .

Johnson, E. A. , Lam, H. F. , Katafygiotis, L. S. and Beck, J. L. 2001. “A Simulated Data Benchmark Problem in Structural Health Monitoring,” In: Proceedings of The 3rd International Workshop on Structural Health Monitoring, Stanford University, also http://wusceel.cive.wustl.edu/asce.shm.

Li, G. 2005. “Research on the Time-Frequency Analysis Technique for On-Line Damage Detection of Smart Structures,” MS Thesis, Nanjing University of Aeronautics & Astronautics, Nanjing, China.

Yang, J. N. , Lei, Y. and Huang, N. E. 2001. “Damage Identification of Civil Engineering Structures Using Hilbert-Huang Transform,” In: Proceedings of The 3rd International Workshop on Structural Health Monitoring, Stanford University.

On Hilbert-Huang Transform Approach for Structural Health Monitoring

Abstract

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