| 基于RBF神经网络的船用柴油机NOx排放的预测 |
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| 引用本文： | 李孟杰1,黄加亮1,2. 基于RBF神经网络的船用柴油机NOx排放的预测[J]. 集美大学学报(自然科学版), 2016, 0(2): 136-139 |
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| 作者姓名： | 李孟杰1 黄加亮1 2 |
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| 作者单位： | （1.集美大学轮机工程学院，福建 厦门 361021；2.福建省船舶与海洋工程重点实验室，福建 厦门 361021） |
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| 摘 要： | 依据4190ZLC-2型船用四冲程增压柴油机实际试验测得的数据，利用MATLAB中的神经网络工具箱，建立了基于径向基函数神经网络（RBF）的柴油机氮氧化物（NOx）排放浓度的预测模型。在预测模型建立过程中选取柴油机油耗率（SFOC）、功率、转速等参数数值作为输入矩阵，柴油机的氮氧化物排放浓度作为输出矩阵。仿真结果表明:该方法预测精度高，可为控制氮氧化物的排放提供依据。
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| 关 键 词： | 4190ZLC-2型船用柴油机 径向基函数神经网络 氮氧化物排放 预测模型 |
Prediction of NOxEmissions from Marine Diesel Engine Based on RBF Neural Network |
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| LI Meng-jie1,HUANG Jia-liang1,2. Prediction of NOxEmissions from Marine Diesel Engine Based on RBF Neural Network[J]. the Editorial Board of Jimei University(Natural Science), 2016, 0(2): 136-139 |
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| Authors: | LI Meng-jie1 HUANG Jia-liang1 2 |
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| Affiliation: | (1.Marine Engineering Institute,Jimei University，Xiamen 361021,China;2.Fujian Provincial Key Laboratory of Naval Architecture and Ocean Engineering，Xiamen 361021,China) |
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| Abstract: | Based on the actual experimental data of type 4190ZLC-2 supercharged four-stroke marine diesel engine，the prediction model is established by using neural network toolbox of MATLAB，which is about the concentration of nitrogen oxides (NOx) emissions of radial basis function neural network(RBF).In the experimental data，the fuel consumption rate (SFOC)，power，speed are chosen as the input matrix and NOx emission concentration of diesel engine is used as the output matrix.Simulation results show that RBF neural network has high prediction accuracy and it can be a very good model for prediction NOx emission concentration of marine diesel engine.The most important is that it can provide a basis for controlling the emission of nitrogen oxide. |
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| Keywords: | 4190ZLC-2 marine diesel engine radial basis function neural network nitrogen oxide emission prediction model |
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