Modeling of Ship Propulsion Performance |
Benjamin Pjedsted Pedersen, Jan Larsen
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| Abstract | The paper addresses prediction of propulsion power from measurement of external variables. Propulsion pwer was prediceted with an relative error of less than 2.7%, using a single hidden layer neural network while classical methods have an relative error of more than 5%. The prediction was carried out for four different states with the following input variables: ship speed, relative wind speed and direction, air temperature and sea water temperature. |
| Keywords | Propulsion; performance; monitoring; non-linear neural network regression; neural networks; fuel consumption |
| Type | Conference paper [With referee] |
| Conference | World Maritime Technology Conference WMTC2009, Jan. 21-24 |
| Year | 2009 Month January |
| Publisher | The Institute of Marine Engineers |
| Address | Mumbai, India |
| Electronic version(s) | [pdf] |
| Publication link | http://www.wmtc2009.com/ |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |