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
Full text not available in this repository. (Request a copy from the Strathclyde author)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 and Military Science > Naval architecture. Shipbuilding. Marine engineering |
| Department: | Faculty of Engineering > Naval Architecture and Marine Engineering Faculty of Engineering > Mechanical and Aerospace Engineering |
| Related URLs: | |
| 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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