基于RBF网络的双燃料发动机排放模型  

Emission Model of Dual Fuel Engine Based on RBF Neural Network

作　　者：刘震涛[1] 费少梅[2] 

机构地区：[1]浙江大学动力机械及车辆工程研究所 [2]浙江大学工程及计算机图学研究所

出　　处：《农业机械学报》2002年第4期1-4,共4页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目 (项目编号 :5 0 10 60 14 )

摘　　要：建立了基于径向基函数 (RBF)神经网络的天然气 /柴油双燃料发动机的排放模型。并利用模型分析了各运行参数对发动机排放的影响。试验证明 。In order to improve the emission performance of a natural gas/diesel dual fuel engine, an emission model of dual fuel engine based on radial basis function (RBF) neural network was established to study the emissions of a dual fuel engine. The results from the model and the experiments nearly coincide with each other. It shows that the developed emission performance model can be used to predict the dual fuel engine emissions precisely. The relationship between the emission performance and the operating parameters, such as rotary speed, load, pilot quantity, injection timing, etc. was also studied by means of this model.

关 键 词：RBF网络 双燃料发动机 排放模型 神经网络 径向基函数网络 

分 类 号：U461.8[机械工程—车辆工程]