Prediction of NOx Emissions of a Heavy Duty Diesel Engine with a NLARX Model Loughborough University

Format:

Conference/Event

Author/Creator:

Maass, Bastian, author.

Conference Name:

SAE 2009 Powertrains Fuels and Lubricants Meeting (2009-11-02 : San Antonio, Texas, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2009

Summary:

This work describes the application of Non-Linear Autoregressive Models with Exogenous Inputs (NLARX) in order to predict the NOx emissions of heavy-duty diesel engines. Two experiments are presented: 1.) a Non-Road-Transient-Cycle (NRTC) 2.) a composition of different engine operation modes and different engine calibrations. Data sets are pre-processed by normalization and re-arranged into training and validation sets. The chosen model is taken from the MATLAB Neural Network Toolbox using the algorithms provided. It is teacher forced trained and then validated. Training results show recognizable performance. However, the validation shows the potential of the chosen method

Notes:

Vendor supplied data

Publisher Number:

2009-01-2796

Access Restriction:

Restricted for use by site license