Pattern Recognition on Diesel Engine Working Conditions by Wavelet Kullback-Leibler Distance Method-Reference-Cited by-同舟云学术

Pattern Recognition on Diesel Engine Working Conditions by Wavelet Kullback-Leibler Distance Method

Published:2005-09-01 Issue:9 Volume:219 Page:879-887
ISSN:0954-4062
Container-title:Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Author:

Zhou P¹,Li H¹,Clelland D¹

Affiliation:

1. Department of Naval Architecture and Marine Engineering, Universities of Glasgow and Strathclyde, Glasgow, UK

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.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1243/095440605X31706

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