摘要
通过计算研究 ,考察了 BP神经网络在大功率船用柴油机 NOx 排放预测上应用的可行性 .选用适当的 NOx 排放模型 ,将发动机不同工况下的缸内最高爆压 pmax,最高燃烧温度Tmax 和纯度 R作为神经网络的输入数据 ,并且使用试验数据对神经网络进行了检验 .结果表明 ,BP神经网络可以有效和准确地对大功率船用柴油机 NOx
This paper presents the potential of predicting the NOx emission from large-power marine diesel engines by means of neural network. By using proper NOx emission model, the maximum pressure pmax, the maximum combustion temperature Tmax and purity R, which are measured under different running conditions, are chosen as the input data for the neural network. And the neural network was then tested by experimental data. Result shows that BP neural network can effectively and precisely predict the NOx emission form large-power low-speed marine diesel engines.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2002年第1期56-59,共4页
Journal of Dalian University of Technology
