Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition
Author:
Affiliation:
1. Changchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Jilin, Changchun, China
2. University of Chinese Academy of Sciences, Beijing, China
Abstract
Funder
Jilin Province Key Scientific and Technological Projects of China
Publisher
Hindawi Limited
Subject
Mechanical Engineering,Mechanics of Materials,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics,Civil and Structural Engineering
Link
http://downloads.hindawi.com/journals/sv/2021/8894959.pdf
Reference20 articles.
1. Wavelet denoising of vehicle platform vibration signal basedon threshold neural network;M. Li;Shock and Vibration,2017
2. Wavelet Denoising of vehicle platform vibration signals based on wavelet analysis;M. Li;Journal of Northeast Normal University (Natural Science Edition),2017
3. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis;N. E. Huang;Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences,1998
4. A study of the characteristics of white noise using the empirical mode decomposition method
5. Ensemble empirical mode decomposition: a noise assisted data analysis method;Z. H. Wu;Advances in Adaptive Data Analysis,2008
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