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http://dx.doi.org/10.3795/KSME-A.2009.33.12.1442

Transient Characteristics Analysis of Structural Systems Undergoing Impact Employing Hilbert-Huang Transformation  

Lee, Seung-Kyu (한양대학교 대학원 기계공학과)
Yoo, Hong-Hee (한양대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.33, no.12, 2009 , pp. 1442-1448 More about this Journal
Abstract
Transient characteristics of a signal can be effectively exhibited in time-frequency domain. Hilbert-Huang Transform (HHT) is one of the time-frequency domain analysis methods. HHT is known for its several advantages over other signal analysis methods. The capability of analyzing non-stationary or nonlinear characteristics of a signal is the primary advantage of HHT. Moreover, it is known that HHT can provide fine resolution in high frequency region and handle large size data efficiently. In this study, the effectiveness of Hilbert-Huang transform is illustrated by employing structural systems undergoing impact. A simple discrete system and an axially oscillating cantilever beam undertaking periodic impulsive force are chosen to show the effectiveness of HHT.
Keywords
Hilbert-Huang Transformation; Signal Analysis; Transient Characteristics; Impact;
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1 Peng, Z.K., Tse, P.W. and Chu, F.L., 2005, "A Comparison Study of Improved Hilbert-Huang Transform and Wavelet Transform: Application to Fault Diagnosis for Rolling Bearing," Mechanical Systems and Signal Processing, 19, pp.974~988   DOI   ScienceOn
2 Norden E. Huang, Shen, Z., Long, S.R., Wu, M.C. and Shih, H.H., 1998, "The Empirical Mode Decomposition and Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis," Proceedings of the Royal Society of London, A 454, pp.903~995   DOI   ScienceOn
3 Rilling, G., Flandrin, P. and Goncalv`es, P., 2003, "On Empirical Mode Decomposition and Its Algorithms," IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, NSIP-03
4 Yoo, H.H., Kim, S.D. and Chung, J., 2009, "Dynamic Modeling and Stability Analysis of an Axially Oscillating Beam Undergoing Periodic Impulsive Force," Journal of Sound and Vibration, 320, pp.254~272   DOI   ScienceOn
5 Norden E. Huang, Man-Li Wu, Wendong Qu, Steven R. Long and Samuel S. P. Shen, 2003, "Applications of Hilbert-Huang Transform to Non-Stationary Financial Time Series Analysis," Appl. Stochastic Models Bus. Ind., pp. 245~268
6 Hwang, D.J. and Kim, J.S., 2008, "Identification of Underwater Ambient Noise Sources Using Hilbert-Huang Transform," Journal of the Korean Society of Ocean Engineers, 22-1, pp.30~36
7 Guo, K., Zhang, X. and Li, H., 2008, "Application of EMD Method to Friction Signal Processing," Mechanical Systems and Signal Processing, 22, pp.248~259   DOI   ScienceOn