Picture of automobile manufacturing plant

Driving innovations in manufacturing: Open Access research from DMEM

Strathprints makes available Open Access scholarly outputs by Strathclyde's Department of Design, Manufacture & Engineering Management (DMEM).

Centred on the vision of 'Delivering Total Engineering', DMEM is a centre for excellence in the processes, systems and technologies needed to support and enable engineering from concept to remanufacture. From user-centred design to sustainable design, from manufacturing operations to remanufacturing, from advanced materials research to systems engineering.

Explore Open Access research by DMEM...

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

Full text not available in this repository. Request a copy from the Strathclyde author

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.