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- W1970790738 abstract "Cylinder pressure sensors provide detailed information on the diesel engine combustion process. This paper presents a method to use cylinder-pressure data for prediction of engine emissions by exploiting data-mining techniques. The proposed method uses principal component analysis to reduce the dimension of the cylinder-pressure data, and a neural network to model the nonlinear relationship between the cylinder pressure and emissions. An algorithm is presented for training the neural network to predict cylinder-individual emissions even though the training data only provides cylinder-averaged target data. The algorithm was applied to an experimental data set from a six-cylinder heavy-duty engine, and it is verified that trends in emissions during transient engine operation are captured successfully by the model." @default.
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- W1970790738 date "2012-01-01" @default.
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- W1970790738 title "A Virtual Sensor for Predicting Diesel Engine Emissions from Cylinder Pressure Data" @default.
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- W1970790738 doi "https://doi.org/10.3182/20121023-3-fr-4025.00063" @default.
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