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

被引:20
作者
Jacob, PJ [1 ]
Gu, F [1 ]
Ball, AD [1 ]
机构
[1] Univ Manchester, Sch Engn, Manchester M13 9PL, Lancs, England
关键词
angular speed; cylinder pressure measurement; non-parametric engine model; radial basis function network; regressor selection; regularization;
D O I
10.1243/0954407991526694
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
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.
引用
收藏
页码:73 / 81
页数:9
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