Diesel engine NOx emissions control: An advanced method for the O2 evaluation in the intake flow

Author:

Mariani F.,Grimaldi C.N.,Battistoni M.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference25 articles.

1. Artificial intelligence for the modeling and control of combustion processes: a review;Kalogiro;Prog Energy Combust Sci,2003

2. On board diagnosis of internal combustion engines: a new model definition and experimental validation;Grimaldi;SAE 1997 Trans: J Commercial Vehicles,1998

3. Grimaldi CN, Mariani F. Prediction of engine operational parameters for on board diagnostics using a free model technology. In: SAE 1999 Transactions Journal of Engines – Section 3, vol. 108. p. 1723–35 SAE Paper 1999-01-1224. ISBN 0-7680-0694-5.

4. Grimaldi Carlo N, Mariani F. On line working neural estimator of SI engines operational parameters. In: SAE 2000 world congress, Detroit, Michigan, USA March 6–9 2000, SAE Paper 2000-01-1247.

5. Grimaldi Carlo N, Mariani Francesco. OBD engines fault detection using a neural approach. SAE 2001 Transactions – Journal of Fuels & Lubricants – Section 4, vol. 110. p. 454–61 (Paper 2001–01-0559).

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