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

机译:发动机性能和状态监测中的非参数模型:第1部分:非线性发动机过程的建模

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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.
机译:本文提出在非线性发动机过程建模中使用径向基函数(RBF)网络。这种模型的相关应用是基于发动机曲轴的瞬时角速度来重建气缸压力。在参数模型和非参数模型以及各自适合的应用程序之间进行区分。介绍了RBF模型的结构,并讨论了该模型在燃烧压力重建中的应用。本文以处理RBF模型(以非线性发动机过程为代表)的实用性作为结尾。

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