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Acoustic based condition monitoring of a diesel engine using self-organising map networks

Li, W, Parkin, Robert M, Coy, Joanne and Gu, Fengshou (2002) Acoustic based condition monitoring of a diesel engine using self-organising map networks. Applied acoustics, 63 (7). pp. 699-711. ISSN 0003-682X

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Abstract

In this paper, the acoustic based condition monitoring of a diesel engine is investigated. Firstly, an experimental test rig is set up to simulate engine faults. Acoustic signals are measured from the test diesel engine under different conditions. To analyse the measured acoustic signals, a two-dimensional topological seif-organising map (SOM) network is employed in this paper to perform feature extraction. The extracted features are processed by both statistical and spectral methods. The results show that the extracted features are able to show the differences between the engine's normal and faulty conditions.

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 > Diagnostic Engineering Research Centre
School of Computing and Engineering > Automotive Engineering Research Group
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 13:26
Last Modified: 08 Dec 2010 13:36
URI: http://eprints.hud.ac.uk/id/eprint/6807

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