The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa

This paper describes an experimental and computer simulation studies used to develop a suitable algorithm to predict and control the oxides of nitrogen (NO ) emitted from the Yanmar L60AE-D single cylinder direct injection diesel engine, fitted in a Cusson's Engine Test Bed Model P8160. NOx con...

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Main Authors:	Mohammud, Mohd. Mahadzir, Mustafa, Khairil Faizi
Format:	Article
Language:	English
Published:	Universiti Teknologi MARA, Pulau Pinang 2003
Subjects:	Neural networks (Computer science)
Online Access:	http://ir.uitm.edu.my/id/eprint/11377/ http://ir.uitm.edu.my/id/eprint/11377/ http://ir.uitm.edu.my/id/eprint/11377/2/AJ_MOHD.%20MAHADZIR%20MOHAMMUD%20ESTEEM%2003.pdf

id	uitm-11377
recordtype	eprints
spelling	uitm-113772020-03-20T02:51:56Z http://ir.uitm.edu.my/id/eprint/11377/ The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa Mohammud, Mohd. Mahadzir Mustafa, Khairil Faizi Neural networks (Computer science) This paper describes an experimental and computer simulation studies used to develop a suitable algorithm to predict and control the oxides of nitrogen (NO ) emitted from the Yanmar L60AE-D single cylinder direct injection diesel engine, fitted in a Cusson's Engine Test Bed Model P8160. NOx contained in the exhaust gases of diesel engines have been identified as elements responsible for polluting our atmosphere. In order to reduce or to control diesel engine polluting emissions, the formation mechanism of NOx can be predicted. A neural network model is developed to obtain the NOx emission concentration under various operating condition. The neural network, well suited for non-linear phenomena modelization, is able to deal with high uncertainly input level and able to operate outside of their range of training experience. A feedforward neural network structure has been selected with a backpropagation training procedure. Four operating parameters (engine speed, engine load, exhaust temperature and air fuel ratio) have been used as an input data in the modelling process. The modelling algorithm implemented, takes a large set of measurements to learn how to predict the NOx emission from four operating parameters. The predicted values obtained using neural network model are compared with the experimental values. The studies show that the predicted results are in good agreement with experimental values, within less 9 % relative error. Universiti Teknologi MARA, Pulau Pinang 2003 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/11377/2/AJ_MOHD.%20MAHADZIR%20MOHAMMUD%20ESTEEM%2003.pdf Mohammud, Mohd. Mahadzir and Mustafa, Khairil Faizi (2003) The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa. ESTEEM Academic Journal, 1. pp. 1-10. ISSN 1675-7939 https://uppp.uitm.edu.my/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Mohammud, Mohd. Mahadzir Mustafa, Khairil Faizi The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa
description	This paper describes an experimental and computer simulation studies used to develop a suitable algorithm to predict and control the oxides of nitrogen (NO ) emitted from the Yanmar L60AE-D single cylinder direct injection diesel engine, fitted in a Cusson's Engine Test Bed Model P8160. NOx contained in the exhaust gases of diesel engines have been identified as elements responsible for polluting our atmosphere. In order to reduce or to control diesel engine polluting emissions, the formation mechanism of NOx can be predicted. A neural network model is developed to obtain the NOx emission concentration under various operating condition. The neural network, well suited for non-linear phenomena modelization, is able to deal with high uncertainly input level and able to operate outside of their range of training experience. A feedforward neural network structure has been selected with a backpropagation training procedure. Four operating parameters (engine speed, engine load, exhaust temperature and air fuel ratio) have been used as an input data in the modelling process. The modelling algorithm implemented, takes a large set of measurements to learn how to predict the NOx emission from four operating parameters. The predicted values obtained using neural network model are compared with the experimental values. The studies show that the predicted results are in good agreement with experimental values, within less 9 % relative error.
format	Article
author	Mohammud, Mohd. Mahadzir Mustafa, Khairil Faizi
author_facet	Mohammud, Mohd. Mahadzir Mustafa, Khairil Faizi
author_sort	Mohammud, Mohd. Mahadzir
title	The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa
title_short	The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa
title_full	The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa
title_fullStr	The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa
title_full_unstemmed	The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa
title_sort	prediction of diesel engine nox emissions using artificial neural network / mohd. mahadzir mohammud and khairil faizi mustafa
publisher	Universiti Teknologi MARA, Pulau Pinang
publishDate	2003
url	http://ir.uitm.edu.my/id/eprint/11377/ http://ir.uitm.edu.my/id/eprint/11377/ http://ir.uitm.edu.my/id/eprint/11377/2/AJ_MOHD.%20MAHADZIR%20MOHAMMUD%20ESTEEM%2003.pdf
first_indexed	2023-09-18T22:47:53Z
last_indexed	2023-09-18T22:47:53Z
_version_	1777417347167944704

The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa

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