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The use of intrinsic mode functions to characterize shock and vibration in the distribution environment

Rouillard, Vincent and Sek, Michael A (2005) The use of intrinsic mode functions to characterize shock and vibration in the distribution environment. Packaging Technology and Science, 18 (1). pp. 39-51. ISSN 0894-3214

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This paper describes an innovative approach, based on the instrinsic mode functions (IMFs), to characterize the nature of mechanical vibration encountered in transport vehicles. The paper highlights the importance of understanding the nature of transport vibration and shows that their accurate characterization is essential for the optimization of protective packaging. Although there have been numerous studies aimed at characterizing random vibration during transport, the majority of those have been limited to applying relatively conventional signal analysis techniques, such as the average power spectral density (PSD). This paper investigates the benefits offered by the recently introduced Hilbert-Huang transform when characterizing non-stationary random vibration in comparison with more traditional Fourier analysis-based techniques. The paper describes the operation of the Hilbert-Huang transform, which was developed to assist in the analysis of non-Gaussian and non-stationary random data. The Hilbert-Huang transform is based on the empirical mode decomposition (EMD) technique used to produce a finite number of IMFs, which, as a set, provide a complete description of the process. It is shown how these IMFs are well suited to the application of the Hilbert-Huang transform to determine the magnitude and instantaneous frequency of each IMF. The technique is applied to various records of random vibration data collected from transport vehicles in order to illustrate the benefits of the method in characterizing the nature of non-stationarities present in transport vibration.

Item Type: Article
Uncontrolled Keywords: vibration, intrinsic mode functions, power spectral density, package transport, hilbert-huang transform
Subjects: Historical > RFCD Classification > 300000 Agricultural, Veterinary and Environmental Sciences
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Depositing User: Ms Phung T Tran
Date Deposited: 11 Jun 2009 02:46
Last Modified: 26 Jul 2011 00:12
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Citations in Scopus: 10 - View on Scopus

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