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A study of the noise from diesel engines using the independent component analysis.

Li, W, Gu, Fengshou, Ball, Andrew, Leung, A Y T and Phipps, C E (2001) A study of the noise from diesel engines using the independent component analysis. Mechanical Systems and Signal Processing, 15 (6). pp. 1165-1184. ISSN 0888-3270

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Abstract

In this paper the independent component analysis (ICA) is applied to engine acoustic signals to identify the engine noise sources. The ICA decomposes the signals into a number of independent components (ICs) so the individual engine acoustic sources can be studied separately. The theoretical description of the characteristics of the diesel engine noise sources is introduced first. The predictive models indicate that the engine noise generation mechanisms follow the same principle as that of the ICA model. The relevant theory and properties of the ICA model are outlined next. A numerical example is presented to verify the separation efficiency of the ICA. The numerical example shows that the ICA can effectively separate the embedded low-level sources. A single set of microphone system is then used to measure the acoustic signals and a sequential ICA model is developed to work with the measurements. The continuous wavelet transform (CWT) is applied to represent the ICs in the time–frequency domain. The source separation results from the recorded acoustic signals are in accordance with theoretical predictions and engine design specifications.

Item Type: Article
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
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Depositing User: Sharon Beastall
Date Deposited: 20 Jan 2010 11:44
Last Modified: 08 Dec 2010 13:37
URI: http://eprints.hud.ac.uk/id/eprint/6797

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