Prediction of performance and exhaust Emission of a Marine Electronic Control Diesel Engine Based on Modeling of BP Neural Networks

摘要：

The aim of this study is to predict the marine diesel engine performance and exhaust emission values building a new approach based on ANNs. In this study, two stages were carried out: First, the experimental data was obtained by testing performance and exhaust emission of marine diesel on the bed. Second, ANN 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.

关键词： exhaust emission common rail artificial neural network

作者: Mingyv Wang Shaojun Zhang Jundong Zhang Fengyi Yu

作者单位: Ocean School, Yantai University, Yantai, China Marine Engineering College, Dalian University, Dalian Marine Engineering College, Dalian Maritime University, Dalian, China Weihai Center for Disease Cont Marine Engineering College, Dalian Maritime University, Dalian, China Ocean School, Yantai University, Yantai, China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronic & Mechanical Engineering and Information Technology(EMEIT 2011)(2011年机电工程与信息技术国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 2814-2817

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）