Publication: Research - peer-review › Article in proceedings – Annual report year: 2011
Parametric roll resonance is a ship stability related phenomenon that generates sudden large amplitude oscillations up to 30-40 degrees of roll. This can cause severe damage, and it can put the crew in serious danger. The need for a parametric rolling real time prediction system has been acknowledged in the last few years. This work proposes a prediction system based on a multilayer perceptron (MP) neural network. The training and testing of the MP network is accomplished by feeding it with simulated data of a three degrees-of-freedom nonlinear model of a fishing vessel. The neural network is shown to be capable of forecasting the ship’s roll motion in realistic scenarios.
|Title of host publication||Proceedings of the Twenty-first International Offshore and Polar Engineering Conference|
|State||Published - 2011|
|Event||21st International Offshore and Polar Engineering Conference - Maui, Hawaii, United States|
|Conference||21st International Offshore and Polar Engineering Conference|
|Period||19/06/2011 → 24/06/2011|
- Fishing vessels, Parametric roll, Artificial neural networks, Prediction systems
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