Application of Artificial Neural Network for Prediction of Marine Diesel Engine Performance

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Abstract

This study deals with an artificial neural network (AIIN) modelling of a marine diesel engine to predict the brake power, output torque, brake specific fuel consumption, brake &ermal effrciency and volumetric efficiency. The input data for network training was gathered from engine laboratory testing running at various engine speed. The prediction model was developed based on 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. Results showed that the ANN model provided good agreement with the experimental data with high accuracy.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Artificial neural networlk; marine diesel engine performance; biodiesel
Subjects:	T Technology > TJ Mechanical engineering and machinery
Faculty/Division:	Faculty of Mechanical Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	02 Nov 2015 06:27
Last Modified:	13 Jul 2018 07:10
URI:	http://umpir.ump.edu.my/id/eprint/10930
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