C. W., Mohd Noor and R., Mamat and G., Najafi and W. B., Wan Nik and M., Fadhil (2015) Application of Artificial Neural Network for Prediction of Marine Diesel Engine Performance. In: IOP Conference Series: Materials Science and Engineering, 3rd International Conference On Mechanical Engineering Research (ICMER2015) , 18-19 August 2015 , Kuantan, Pahang. pp. 1-10., 100 (012023). ISSN 1757-8981 (Print); 1757-899X (Online)
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Application of artificial neural network for prediction of marine diesel engine performance-fkm-2015.pdf Available under License Creative Commons Attribution. Download (2MB) | Preview |
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) |
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| 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 |
| Download Statistic: | View Download Statistics |
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