首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >Non-parametric models in the monitoring of engine performance and condition: Part 1: modelling of non-linear engine processes
【24h】

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

机译:监视发动机性能和状态的非参数模型:第1部分:非线性发动机过程的建模

获取原文
获取原文并翻译 | 示例
           

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 velocityof 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。提出了RBF模型的结构,并讨论了该模型在燃烧压力重建中的应用。本文的结论是对与实施RBF模型(代表非线性发动机过程)相关的实用性进行了总结。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号