Nonstationary Vibration Signal Analysis Using Wavelet-Based Time-Frequency Filter and Wigner-Ville Distribution Academic Article

abstract

• Vibration responses of nonlinear or time-varying dynamical systems are always nonstationary. Timefrequency representation becomes a necessary approach to analysis such signals. In this paper, a nonstationary vibration analysis method based on continuous wavelet transform (CWT) and WignerVille distribution (WVD) is presented. In order to avoid the cross-terms in the original WVD, a timefrequency filter created by wavelet spectrum is employed to filter the timefrequency distribution (TFD). This process eliminates cross-terms and maintains high timefrequency resolution. The improved WVD is applied to both simulated and practical time-varying systems. Bat echolocation signal, train wheel vibration, and bridge vibration under a moving train are used to assess the proposed method. Comparison results show that the improved WVD is free of cross-terms, effective in identifying time-varying frequencies and is more accurate than the wavelet timefrequency spectrum.

authors

• Xu, Chang

published proceedings

• JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME

author list (cited authors)

• Xu, C., Wang, C., & Liu, W.

citation count

• 10

complete list of authors

• Xu, Chang||Wang, Cong||Liu, Wei

publication date

• October 2016

publisher

• ASME International  Publisher

published in

• Journal of Vibration and Acoustics: Transactions of the ASME  Journal

keywords

• Continuous Wavelet Transform
• Nonstationary Signal
• Time-frequency Distribution
• Time-frequency Filter
• Winger-ville Distribution

Digital Object Identifier (DOI)

• 10.1115/1.4033641

start page

• 051009

volume

• 138

issue

• 5

URL

• http://dx.doi.org/10.1115/1.4033641