Technical Notes
Feb 27, 2013

Time-Varying Linear and Nonlinear Structural Identification with Analytical Mode Decomposition and Hilbert Transform

Publication: Journal of Structural Engineering
Volume 139, Issue 12

Abstract

Analytical mode decomposition (AMD) of a time series concerning any preselected bisecting frequency with Hilbert transform has been developed for closely spaced multicomponent signal decomposition. For this class of structures, it is often challenging, if not impossible, to apply empirical mode decomposition. In this study, the instantaneous structural frequencies are directly derived from the decomposed modal responses for systems with single and multiple degrees of freedom with both free and force vibrations, based on AMD combined with Hilbert transform analysis. The results show that the slow varying component of the instantaneous frequency of the signal is approximately equal to the instantaneous frequency of the systems for slowly time varying linear or weakly nonlinear structures. Both numerical simulations and experimental tests show that the proposed method is capable of tracking the frequency variations with high accuracy for time varying linear structures or weakly nonlinear structures.

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Acknowledgments

Financial support to complete this study was provided in part by the National Science Foundation under Award No. CMMI0409420. The second author wishes to thank the National Science Foundation of China for providing additional support under Grants No. 51078357 and No. 51208165.

References

Chen, G. D., and Wang, Z. C. (2011). “Response to the letter to editor by Dr. M. Feldman entitled a signal decomposition or lowpass filtering with Hilbert transform.” Mech. Syst. Signal Process., 25(8), 3204.
Chen, G. D., and Wang, Z. C. (2012). “A signal decomposition theorem with Hilbert transform and its application to narrowband time series with closely spaced frequency components.” Mech. Syst. Signal Process., 28, 258–279.
Chen, H. G., Yan, Y. J., and Jiang, J. S. (2007). “Vibration-based damaged detection in composite wingbox structures by HHT.” Mech. Syst. Signal Process., 21(1), 307–321.
Chen, J., and Xu, Y. L. (2002). “Identification of modal damping ratios of structures with closely spaced modal frequencies.” Struct. Eng. Mech., 14(4), 417–434.
Feldman, M. (1985). “Investigation of the natural vibrations of machine elements using the Hilbert transform.” Soviet Mach. Sci., 2, 44–47.
Feldman, M. (1994). “Non-linear system vibration analysis using Hilbert transform—I: Free vibration analysis method.” Mech. Syst. Signal Process., 8(2), 119–127.
Feldman, M. (1997). “Non-linear free-vibration identification via the Hilbert transform.” J. Sound Vib., 208(3), 475–489.
Feldman, M. (2011a). “A signal decomposition or lowpass filtering with Hilbert transform?” Mech. Syst. Signal Process., 25(8), 3205–3208.
Feldman, M. (2011b). Hilbert transform applications in mechanical vibration, Wiley, New York.
Huang, N. E., Shen, Z., and Long, S. R. (1999). “A new view of nonlinear water waves: The Hilbert spectrum.” Annu. Rev. Fluid Mech., 31(1), 417–457.
Huang, N. E., et al. (1998). “The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis.” Proc. Royal Soc. London Ser. A, 454(1971), 903–995.
Huang, N. E., et al. (2003). “A confidence limit for the empirical mode decomposition and Hilbert spectral analysis.” Proc. Royal Soc. London Ser. A, 459(2037), 2317–2345.
Liu, B., Riemenschneider, S., and Xu, Y. (2006). “Gearbox fault diagnosis using empirical mode decomposition and Hilbert spectrum.” Mech. Syst. Signal Process., 20(3), 718–734.
Wang, W. (2005). “Decomposition of wave groups with EMD method.” The Hilbert transform in engineering, Taylor and Francis Group, Boca Raton, FL, 267–280.
Wang, Z. C., and Chen, G. D. (2011). “Adaptive data analysis with analytical mode decomposition and Hilbert transform-applications in structural identification.” 6th Int. Workshop on Advanced Smart Materials and Smart Structures Technology, ANCRiSST, Dalian, China.
Yang, J. N., Lei, Y., Pan, S., and Huang, N. (2003a). “System identification of linear structures based on Hilbert-Huang spectral analysis, Part I: Normal modes.” Earthquake Eng. Struct. Dyn., 32(9), 1443–1467.
Yang, J. N., Lei, Y., Pan, S., and Huang, N. (2003b). “System identification of linear structures based on Hilbert-Huang spectral analysis, Part II: Complex modes.” Earthquake Eng. Struct. Dyn., 32(10), 1533–1554.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 139Issue 12December 2013

History

Received: Dec 29, 2011
Accepted: Feb 25, 2013
Published online: Feb 27, 2013
Published in print: Dec 1, 2013
Discussion open until: Jan 30, 2014

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Authors

Affiliations

Zuo-Cai Wang
Professor, Dept. of Civil Engineering, Hefei Univ. of Technology, Hefei, Anhui Province, 230009, People’s Republic of China.
Wei-Xin Ren [email protected]
Distinguished Professor, Dept. of Civil Engineering, Hefei Univ. of Technology, Hefei, Anhui Province, 230009, People’s Republic of China (corresponding author). E-mail: [email protected]
Gen-Da Chen
F.ASCE
Professor, Dept. of Civil, Architectural, and Environmental Engineering, Missouri Univ. of Science and Technology, Rolla, MO 65401.

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