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ANN based evaluation of the NOx concentration in the exhaust gas of a marine two-stroke diesel engine

机译:基于ANN的船用二冲程柴油机废气中NOx浓度评估

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The article presents results of a study on the possible application of artificial neural networks (ANNs) to the evaluation of NOx concentration in the exhaust gas of a marine two-stroke Diesel engine. A concept is presented how to use the ANN as an alternative to direct measurements carried out on a ship at sea. Methods of proper ANN selection, configuration and training are presented. Also included are the results of laboratory tests, performed to obtain data for ANN training and tests, and the results obtained from modelling certain processes with the aid of selected ANNs. As a result of the performed investigations, an ANN was constructed and trained to calculate NOx concentration in the Diesel engine exhaust gas based on the engine operation parameters measured with an average error of 1.83% , and the fuel consumptionrnmeasured with an average error of 1.12%.
机译:本文介绍了人工神经网络(ANN)在船用二冲程柴油机废气中NOx浓度评估中可能应用的研究结果。提出了一个概念,即如何使用ANN替代在海上船舶上进行的直接测量。提出了正确的人工神经网络选择,配置和训练方法。还包括为获得ANN训练和测试数据而进行的实验室测试的结果,以及借助选定的ANN建模某些过程而获得的结果。进行调查的结果是,构造并训练了人工神经网络,以根据测得的发动机运行参数(平均误差为1.83%)和燃油消耗(平均误差为1.12%)来计算柴油机排气中的NOx浓度。 。

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