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Pattern recognition on diesel engine working condition by using a novel methodology - Hilbert spectrum entropy

Li, H. and Zhou, P. and Ma, X. (2005) Pattern recognition on diesel engine working condition by using a novel methodology - Hilbert spectrum entropy. Proceedings- Institute of Marine Engineering Science and Technology Part a Journal of Marine Engineering and Technology, A6. pp. 43-48. ISSN 1476-1548

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Abstract

In this paper, a novel method of diesel engine pattern recognition is introduced. Hilbert spectrum (HS) and information entropy are combined to form the Hilbert spectrum entropy (HSE) which is able to give an accurate entropy estimation for Hilbert spectrum. It is more convenient and visual to pattern recognition and fault diagnosis. Experimental data of piston and cylinder liner wear rates obtained from a production diesel engine is used to evaluate the newly developed method. A good conclusion has been reached. Hilbert spectrum entropy is a more advanced method, owing to its numerical outputs, for pattern recognition and fault diagnosis of diesel engines.

Item type: Article
ID code: 9865
Keywords: pattern recognition, hilbert spectrum calculation, Naval Science and Military Science, Mechanical Engineering, Ocean Engineering, Electrical and Electronic Engineering, Fuel Technology
Subjects: Naval Science
Department: Faculty of Engineering > Naval Architecture and Marine Engineering
Faculty of Engineering > Mechanical and Aerospace Engineering
Faculty of Science > Mathematics and Statistics
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Depositing user: Strathprints Administrator
Date Deposited: 20 Jul 2011 14:32
Last modified: 04 Sep 2014 19:47
URI: http://strathprints.strath.ac.uk/id/eprint/9865

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