| 基于神经网络的柴油机性能建模 |
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| 引用本文： | 冯国胜,杨绍普,程京平.基于神经网络的柴油机性能建模[J].内燃机学报,2005,23(2):182-186. |
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| 作者姓名： | 冯国胜 杨绍普 程京平 |
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| 作者单位： | 石家庄铁道学院,机械分院,河北,石家庄,050043 |
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| 基金项目： | 河北省自然科学基金资助项目(F2004000428)。 |
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| 摘 要： | 提出了正交试验法与神经网络相结合，建立柴油机动力性、经济性及排放特性与柴油机运转参数间神经网络模型的方法，研究了转速、供油量、VGT开度和过量空气系数变化对柴油机性能的影响，用复相关系数检验模型的泛化能力，确定模型的权值矩阵。研究表明该方法可行并可较好地预测柴油机的性能。
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| 关 键 词： | 柴油机 神经网络 性能建模 |
| 文章编号： | 1000-0909(2005)02-0182-05 |
| 修稿时间： | 2004年7月22日 |
Modeling for Diesel Engine Performance Based on Neural Network |
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| FENG Guo-sheng,YANG Shao-pu,CHENG Jing-ping.Modeling for Diesel Engine Performance Based on Neural Network[J].Transactions of Csice,2005,23(2):182-186. |
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| Authors: | FENG Guo-sheng YANG Shao-pu CHENG Jing-ping |
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| Abstract: | A model for predicting diesel engine power output, fuel consumption and exhaust emissions with engine operating parameters was proposed based on the orthogonal test and neural network. The effect of engine speed, amount of fuel supplied, VGT opening and excess air ratio on engine performance were investigated, and the complex correlation coefficient was used to verify the extensive ability of model to determine the weight value matrix. The study showed that the method was feasible and could accurately predict the engine performances. |
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| Keywords: | Diesel engine Neural network Performance model |
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