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Pattern recognition on diesel engine working conditions by Wavelet Kullback-Leibler distance method

Zhou, P. and Li, H. and Clelland, D. (2005) Pattern recognition on diesel engine working conditions by Wavelet Kullback-Leibler distance method. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 219 (9). pp. 879-887. ISSN 0954-4062

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Abstract

This article introduces a novel pattern recognition and fault diagnosis method for diesel engines. The method is developed from engine vibration signal analysis in combination with wavelet and Kullback-Leibler distance (KLD) approaches. The new approach is termed wavelet Kullback-Leibler distance (WKLD). Experimental data relating to piston and cylinder liner wear obtained from a production diesel engine are used to evaluate the newly developed method. A good agreement between the experimental data and the WKLD estimation is found. The results of this article suggest that WKLD is an advancement on the methods which have been currently developed for pattern recognition and fault diagnosis of diesel engines.

Item type: Article
ID code: 4952
Keywords: wavelet, fault diagnosis, Kullback-Leibler distance, pattern recognition, diesel engines, vibration, Naval architecture. Shipbuilding. Marine engineering
Subjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering
Department: Faculty of Engineering > Naval Architecture and Marine Engineering
Faculty of Engineering > Mechanical and Aerospace Engineering
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Depositing user: Strathprints Administrator
Date Deposited: 06 Dec 2007
Last modified: 12 Mar 2012 10:41
URI: http://strathprints.strath.ac.uk/id/eprint/4952

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