Picture of a sphere with binary code

Making Strathclyde research discoverable to the world...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. It exposes Strathclyde's world leading Open Access research to many of the world's leading resource discovery tools, and from there onto the screens of researchers around the world.

Explore Strathclyde Open Access research content

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.