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Statistical Models for Nonstationary and Non-Gaussian Road Vehicle Vibrations
Rouillard, Vincent (2009) Statistical Models for Nonstationary and Non-Gaussian Road Vehicle Vibrations. Engineering Letters, 17 (4). pp. 1-11. ISSN 1816-093X
Full text for this resource is not available from the Research Repository.Abstract
This paper presents some of the outcomes of a research project concerned with the development of a method for synthesizing, under controlled conditions in the laboratory, the random vibrations generated by road transport vehicles. Firstly, the paper deals with the development of a technique for decomposing non-stationary random vibration signals into constituent Gaussian elements. The hypothesis that random non-stationary vehicle vibrations are essentially composed of a sequence of zero-mean random Gaussian processes of varying standard deviations is tested and the paper reveals that the variations in the magnitude of the vibrations are the cause of the leptokurtic, non-Gaussian nature of the process. It is shown how non-stationary vibration signals can be systematically decomposed into these independent random Gaussian elements by means of a numerical curve-fitting procedure...
Item Type: | Article |
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Uncontrolled Keywords: | ResPubID19197, Gaussian vibrations, non-stationary vibrations, random vibrations, vehicle vibrations |
Subjects: | Historical > Faculty/School/Research Centre/Department > School of Engineering and Science Current > FOR Classification > 0913 Mechanical Engineering |
Related URLs: | |
Depositing User: | . VUIR |
Date Deposited: | 17 May 2012 05:13 |
Last Modified: | 17 May 2012 05:13 |
URI: | http://vuir.vu.edu.au/id/eprint/4559 |
ePrint Statistics: | View download statistics for this item |
Citations in Scopus: | 10 - View on Scopus |
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