Non-parametric models in the monitoring of engine performance and condition part 1: Modelling of non-linear engine processes

P. J. Jacob, F. Gu, A. D. Ball

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

This paper proposes the use of radial basis function (RBF) networks in the modelling of non-linear engine processes. A pertinent application of such a model is the reconstruction of cylinder pressure based upon the instantaneous angular velocity of the engine crankshaft. Distinction is made between parametric and non-parametric models and applications to which each is suited. The structure of an RBF model is presented and the use of this model in combustion pressure reconstruction is discussed. The paper concludes with a treatment of the practicalities associated with the implementation of an RBF model to typify a non-linear engine process.

Original languageEnglish
Pages (from-to)73-81
Number of pages9
JournalProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Volume213
Issue number1
DOIs
Publication statusPublished - 1 Jan 1999
Externally publishedYes

Fingerprint Dive into the research topics of 'Non-parametric models in the monitoring of engine performance and condition part 1: Modelling of non-linear engine processes'. Together they form a unique fingerprint.

  • Cite this