DocumentCode
2816208
Title
Vibration transmission analyze based on wavelet theory and higher order spectrum
Author
Li, Yifan ; Lin, Jianhui
Author_Institution
Traction Power State Key Lab., Southwest Jiaotong Univ., Chengdu, China
fYear
2011
fDate
15-17 July 2011
Firstpage
5492
Lastpage
5495
Abstract
The vibration of internal structure and car body of rolling stock influences the safety of train operation directly. Due to non-stationary feature of vibration signal, traditional spectrum analysis and PSD methods are limited. In this paper, mechanical vibration transmission relationship is researched based on wavelet denoising technique and higher order spectrum analysis by the use of the character that wavelet decomposition possess the function of self-adapting time-frequency localization characteristic and higher order spectrum can restrain the additive gauss noise, putting forward frequency response function based on 1.5 dimension spectrum. The effect of vibration transmission relationship based on wavelet de-noising and 1.5 dimension spectrum is better than power spectrum though analyzing and comparing, the results could be taken into consideration in vehicle structural design.
Keywords
Gaussian noise; railway rolling stock; railway safety; vibrations; wavelet transforms; additive Gauss noise; car body vibration; frequency response function; higher order spectrum; internal structure vibration; mechanical vibration transmission relationship; rolling stock; self-adapting time-frequency localization characteristic; train operation safety; vehicle structural design; wavelet decomposition; wavelet denoising technique; wavelet theory; Noise reduction; Presses; Rail transportation; Signal resolution; Time series analysis; Vibrations; Wavelet transforms; 1.5 dimension spectrum; higher order spectrum; vibration transmission; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5988268
Filename
5988268
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