Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model

Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model

This study deals with an artificial neural network (ANN) modelling of a marine diesel engine to predict the output torque, brake power, brake specific fuel consumption and exhaust gas temperature. The input data for network training was gathered from engine laboratory testing running at various eng...

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Main Authors: C. W., Mohd Noor, R., Mamat, G., Najafi, Mohd Hafizil, Mat Yasin, C. K., Ihsan, M. M., Noor
Format: Article
Language:English
Published: Faculty Mechanical Engineering, UMP 2016
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/14441/
http://umpir.ump.edu.my/id/eprint/14441/
http://umpir.ump.edu.my/id/eprint/14441/
http://umpir.ump.edu.my/id/eprint/14441/1/Prediction%20of%20Marine%20Diesel%20Engine%20Performance%20by%20Using%20Artificial%20Neural%20Network%20Model.pdf
id ump-14441
recordtype eprints
spelling ump-144412018-09-21T07:12:14Z http://umpir.ump.edu.my/id/eprint/14441/ Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model C. W., Mohd Noor R., Mamat G., Najafi Mohd Hafizil, Mat Yasin C. K., Ihsan M. M., Noor TJ Mechanical engineering and machinery This study deals with an artificial neural network (ANN) modelling of a marine diesel engine to predict the output torque, brake power, brake specific fuel consumption and exhaust gas temperature. The input data for network training was gathered from engine laboratory testing running at various engine speeds and loads. An ANN prediction model was developed based on a standard back-propagation Levenberg–Marquardt training algorithm. The performance of the model was validated by comparing the prediction data sets with the measured experiment data and output from the mathematical model. The results showed that the ANN model provided good agreement with the experimental data with a coefficient of determination (R2) of 0.99. The prediction error of the ANN model is lower than the mathematical model. The present study reveals that the artificial neural network approach can be used to predict the performance of a marine diesel engine with high accuracy Faculty Mechanical Engineering, UMP 2016 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/14441/1/Prediction%20of%20Marine%20Diesel%20Engine%20Performance%20by%20Using%20Artificial%20Neural%20Network%20Model.pdf C. W., Mohd Noor and R., Mamat and G., Najafi and Mohd Hafizil, Mat Yasin and C. K., Ihsan and M. M., Noor (2016) Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model. Journal of Mechanical Engineering and Sciences (JMES) , 10 (1). pp. 1917-1930. ISSN 2289-4659 (print); 2231-8380 (online) http://dx.doi.org/10.15282/jmes.10.1.2016.15.0183 DOI: 10.15282/jmes.10.1.2016.15.0183
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
C. W., Mohd Noor
R., Mamat
G., Najafi
Mohd Hafizil, Mat Yasin
C. K., Ihsan
M. M., Noor
Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model
description This study deals with an artificial neural network (ANN) modelling of a marine diesel engine to predict the output torque, brake power, brake specific fuel consumption and exhaust gas temperature. The input data for network training was gathered from engine laboratory testing running at various engine speeds and loads. An ANN prediction model was developed based on a standard back-propagation Levenberg–Marquardt training algorithm. The performance of the model was validated by comparing the prediction data sets with the measured experiment data and output from the mathematical model. The results showed that the ANN model provided good agreement with the experimental data with a coefficient of determination (R2) of 0.99. The prediction error of the ANN model is lower than the mathematical model. The present study reveals that the artificial neural network approach can be used to predict the performance of a marine diesel engine with high accuracy
format Article
author C. W., Mohd Noor
R., Mamat
G., Najafi
Mohd Hafizil, Mat Yasin
C. K., Ihsan
M. M., Noor
author_facet C. W., Mohd Noor
R., Mamat
G., Najafi
Mohd Hafizil, Mat Yasin
C. K., Ihsan
M. M., Noor
author_sort C. W., Mohd Noor
title Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model
title_short Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model
title_full Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model
title_fullStr Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model
title_full_unstemmed Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model
title_sort prediction of marine diesel engine performance by using artificial neural network model
publisher Faculty Mechanical Engineering, UMP
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/14441/
http://umpir.ump.edu.my/id/eprint/14441/
http://umpir.ump.edu.my/id/eprint/14441/
http://umpir.ump.edu.my/id/eprint/14441/1/Prediction%20of%20Marine%20Diesel%20Engine%20Performance%20by%20Using%20Artificial%20Neural%20Network%20Model.pdf
first_indexed 2023-09-18T22:18:12Z
last_indexed 2023-09-18T22:18:12Z
_version_ 1777415479295475712

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