基于线性神经网络与柴油十六烷值预测发动机NO_x排放

Predicting NOx Emissions from engine Based on Linear Neural Network and Cetane Number of Diesel Fuel

分别以柴油的十六烷值、十六烷值和十六烷改进剂、十六烷值和柴油的含氮量作为输入量,以发动机排放的NOx作为输出量,建立了发动机的NOx排放的线性神经网络模型,利用该模型预测了发动机排放的NOx的值,分析了十六烷改进剂和柴油的含氮量对发动机的NOx排放的影响,得到了较为满意的结果。

A linear neural network model was established for NOx emissions prediction with cetane number or cetane number plus cetane improver or cetane number plus content of nitrogen in diesel fuel as input and NOx as output. An analysis of engine NO, emissions and the effect of cetane improver and content of nitrogen in diesel fuel on NO, emissions was performed, and a satisfactory result was achieved.