Development of artificial neural network model in predicting performance of the smart wind turbine blade
This paper demonstrates the applicability of Artificial Neural Networks (ANNs) that use Multiple Back-Propagation networks (MBP) and Non-linear Autoregressive with Exogenous (NARX) for predicting the deflection of the smart wind turbine blade specimen. A neural network model has been developed to pe...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/65086/ http://psasir.upm.edu.my/id/eprint/65086/1/MPC2013_5.pdf |
| _version_ | 1848855187778699264 |
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| author | Supeni, Eris Elianddy Epaarachchi, Jayantha Ananda Islam, Md Mainul Lau, Kin Tak |
| author_facet | Supeni, Eris Elianddy Epaarachchi, Jayantha Ananda Islam, Md Mainul Lau, Kin Tak |
| author_sort | Supeni, Eris Elianddy |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper demonstrates the applicability of Artificial Neural Networks (ANNs) that use Multiple Back-Propagation networks (MBP) and Non-linear Autoregressive with Exogenous (NARX) for predicting the deflection of the smart wind turbine blade specimen. A neural network model has been developed to perform the deflection with respect to a number of wires required as the output parameter. The parameter includes load, current, time taken and deflection as input parameters. The network has been trained with experimental data obtained from experimental work. The various stages involved in the development of genetic algorithm based neural network model are addressed at length in this paper. |
| first_indexed | 2025-11-15T11:21:47Z |
| format | Conference or Workshop Item |
| id | upm-65086 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:21:47Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-650862018-09-03T04:54:41Z http://psasir.upm.edu.my/id/eprint/65086/ Development of artificial neural network model in predicting performance of the smart wind turbine blade Supeni, Eris Elianddy Epaarachchi, Jayantha Ananda Islam, Md Mainul Lau, Kin Tak This paper demonstrates the applicability of Artificial Neural Networks (ANNs) that use Multiple Back-Propagation networks (MBP) and Non-linear Autoregressive with Exogenous (NARX) for predicting the deflection of the smart wind turbine blade specimen. A neural network model has been developed to perform the deflection with respect to a number of wires required as the output parameter. The parameter includes load, current, time taken and deflection as input parameters. The network has been trained with experimental data obtained from experimental work. The various stages involved in the development of genetic algorithm based neural network model are addressed at length in this paper. 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/65086/1/MPC2013_5.pdf Supeni, Eris Elianddy and Epaarachchi, Jayantha Ananda and Islam, Md Mainul and Lau, Kin Tak (2013) Development of artificial neural network model in predicting performance of the smart wind turbine blade. In: 3rd Malaysian Postgraduate Conference (MPC2013), 4-5 July 2013, Education Malaysia Australia (EMA), Sydney, New South Wales, Australia. (pp. 233-242). |
| spellingShingle | Supeni, Eris Elianddy Epaarachchi, Jayantha Ananda Islam, Md Mainul Lau, Kin Tak Development of artificial neural network model in predicting performance of the smart wind turbine blade |
| title | Development of artificial neural network model in predicting performance of the smart wind turbine blade |
| title_full | Development of artificial neural network model in predicting performance of the smart wind turbine blade |
| title_fullStr | Development of artificial neural network model in predicting performance of the smart wind turbine blade |
| title_full_unstemmed | Development of artificial neural network model in predicting performance of the smart wind turbine blade |
| title_short | Development of artificial neural network model in predicting performance of the smart wind turbine blade |
| title_sort | development of artificial neural network model in predicting performance of the smart wind turbine blade |
| url | http://psasir.upm.edu.my/id/eprint/65086/ http://psasir.upm.edu.my/id/eprint/65086/1/MPC2013_5.pdf |