Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine
accuracy assessment; biofuel; combustion; diesel engine; exhaust emission; industrial emission; machine learning; numerical model; parameter estimation; performance assessment; software; testing method; Jatropha curcas; biofuel; gasoline; analysis; chemistry; exhaust gas; Jatropha; machine learning;...
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2023
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my.uniten.dspace-230682023-05-29T14:37:39Z Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine Silitonga A.S. Hassan M.H. Ong H.C. Kusumo F. 39262559400 9232771700 55310784800 56611974900 accuracy assessment; biofuel; combustion; diesel engine; exhaust emission; industrial emission; machine learning; numerical model; parameter estimation; performance assessment; software; testing method; Jatropha curcas; biofuel; gasoline; analysis; chemistry; exhaust gas; Jatropha; machine learning; Biofuels; Gasoline; Jatropha; Machine Learning; Vehicle Emissions The purpose of this study is to investigate the performance, emission and combustion characteristics of a four-cylinder common-rail turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends. A kernel-based extreme learning machine (KELM) model is developed in this study using MATLAB software in order to predict the performance, combustion and emission characteristics of the engine. To acquire the data for training and testing the KELM model, the engine speed was selected as the input parameter, whereas the performance, exhaust emissions and combustion characteristics were chosen as the output parameters of the KELM model. The performance, emissions and combustion characteristics predicted by the KELM model were validated by comparing the predicted data with the experimental data. The results show that the coefficient of determination of the parameters is within a range of 0.9805�0.9991 for both the KELM model and the experimental data. The mean absolute percentage error is within a range of 0.1259�2.3838. This study shows that KELM modelling is a useful technique in biodiesel production since it facilitates scientists and researchers to predict the performance, exhaust emissions and combustion characteristics of internal combustion engines with high accuracy. � 2017, Springer-Verlag GmbH Germany. Final 2023-05-29T06:37:39Z 2023-05-29T06:37:39Z 2017 Article 10.1007/s11356-017-0141-9 2-s2.0-85029602552 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029602552&doi=10.1007%2fs11356-017-0141-9&partnerID=40&md5=73b05161c692246082c02fe2bd72606e https://irepository.uniten.edu.my/handle/123456789/23068 24 32 25383 25405 Springer Verlag Scopus |
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accuracy assessment; biofuel; combustion; diesel engine; exhaust emission; industrial emission; machine learning; numerical model; parameter estimation; performance assessment; software; testing method; Jatropha curcas; biofuel; gasoline; analysis; chemistry; exhaust gas; Jatropha; machine learning; Biofuels; Gasoline; Jatropha; Machine Learning; Vehicle Emissions |
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39262559400 Silitonga A.S. Hassan M.H. Ong H.C. Kusumo F. |
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Article |
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Silitonga A.S. Hassan M.H. Ong H.C. Kusumo F. |
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Silitonga A.S. Hassan M.H. Ong H.C. Kusumo F. Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine |
| author_sort |
Silitonga A.S. |
| title |
Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine |
| title_short |
Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine |
| title_full |
Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine |
| title_fullStr |
Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine |
| title_full_unstemmed |
Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine |
| title_sort |
analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine |
| publisher |
Springer Verlag |
| publishDate |
2023 |
| _version_ |
1806426709294055424 |
| score |
13.214268 |