Predication emission of an intelligent marine diesel engine based on modeling of BP neural networks

	Predication emission of an intelligent marine diesel engine based on modeling of BP neural networks
	Wang,Mingyv ; Zhang,Shaojun ; Zhang,Jundong ; Ma,Qiang
通讯作者	Wang,M.
	2010
会议名称	2010 6th International Conference on Natural Computation, ICNC'10
会议日期	2010-08-10
会议地点	.
ISBN号	ISBN-13:9781424459612
产权排序	(1) Marine Engineering College, Dalian Maritime University, 1 Linghai Road, 116026 Dalian, China; (2) Ocean School, Yantai University, 32 Qingquan Road, 264005 Yantai, China; (3) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 17 Chunhui Road, Laishan District, 264005, Yantai, China; (4) Marine College, Shandong Jiaotong University, 115 Xinwei Road, 264200 Weihai, China
关键词	Atmospheric Pressure Diesel Engines Exhaust Systems (Engine) Marine Engines Measurement Errors Network Performance Speech Recognition
摘要	Predicate the emission of the marine diesel using the artificial neural networks (ANNs) has never been reported. The aim of this study is to establish a new approach for prediction of the marine diesel engine emissions based on ANNs. The marine engine exhaust emissions were measured for different engine loads conditions according to the IMO technical code. According to the results, the network performance is sufficient for all emission outputs. In the network, engine speed (N), engine load (L), fuel flow rate (FFR), air mass flow rate (AMR), scavenge air pressure( SAR), maximum injection pressure (MIP), electronic parameters and environmental conditions were taken as the input parameters, and the values of emissions were used as the output parameters. The R² values of the modeling were 0.98, and the mean % errors were smaller. However, filter smoke number (FSN) higher mean errors were obtained due to the complexity of the burning process and the measurement errors. Finally, ANNs modeling was successfully trained by experimental data, and then the model was used to predict engine emission values. The result showed that the values produced by ANNs were parallel to the experimental results. © 2010 IEEE.
学科领域	管理学
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收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.yic.ac.cn/handle/133337/4781
专题	中国科学院烟台海岸带研究所知识产出
推荐引用方式 GB/T 7714	Wang,Mingyv,Zhang,Shaojun,Zhang,Jundong,et al. Predication emission of an intelligent marine diesel engine based on modeling of BP neural networks[C]:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2010.

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