Regression-Based Oxides of Nitrogen Predictors for Three Diesel Engine Technologies

Author:

Chen Xiaohan1,Schmid Natalia A.1,Wang Lijuan2,Clark Nigel N.2

Affiliation:

1. a Lane Department of Computer Science and Electrical Engineering , West Virginia University , Morgantown , WV , USA

2. b Department of Mechanical and Aerospace Engineering , West Virginia University , Morgantown , WV , USA

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal

Reference22 articles.

1. Heywood, J.B.Internal Combustion Engine Fundamentals; McGraw Hill: New York, 1988.

2. Rousseau, A.; Sharer, P.; Pasquier, M. Validation Process of a System Analysis Model: PSAT. Presented at the Society of Automotive Engineers (SAE) World Congress; SAE Technical Paper 2001-01-0953; SAE: Warrendale, PA, 2001;

3. An, F.; Rousseau, A. Integration of a Modal Energy and Emissions Model into a PNGV Vehicle Simulation Model, PSAT; Society of Automotive Engineers (SAE) Paper 2001-01-0954; SAE: Warrendale, PA, 2001.

4. Conley, J.J.; Jarrett, R.; Nennelli, A.; Toth-Nagy, C.; Clark, N.N. Emissions Modeling of Heavy-Duty Conventional and Hybrid Electric Vehicles. Presented at the Society of Automotive Engineers (SAE) Fall Fuels & Lubricants Meeting, San Antonio, TX; SAE Technical Paper 2001-01-3675; SAE: Warrendale, PA, 2001.

5. Traver, M.L.; Atkinson, R.J.; Atkinson, C.M. Neural Network-Based Diesel Engine Emissions Prediction Using In-Cylinder Combustion Pressure; Society of Automotive Engineers (SAE) Paper 1999-01-1532; SAE: Warrendale, PA, 1999.

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