Prediction of Parametric Roll Resonance by Multilayer Perceptron Neural Network

M Míguez González, F. López Peña, V. Díaz Casás, Roberto Galeazzi, Mogens Blanke

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the Twenty-first International Offshore and Polar Engineering Conference
Publication date2011
Pages522-529
ISBN (Print)978-1-880653-96-8
Publication statusPublished - 2011
Event21st International Offshore and Polar Engineering Conference - Maui, Hawaii, United States
Duration: 19 Jun 201124 Jun 2011
http://www.isope.org/conferences/conferences.htm

Conference

Conference21st International Offshore and Polar Engineering Conference
CountryUnited States
CityMaui, Hawaii
Period19/06/201124/06/2011
Internet address

Keywords

  • Fishing vessels
  • Parametric roll
  • Artificial neural networks
  • Prediction systems

Cite this

Míguez González, M., López Peña, F., Díaz Casás, V., Galeazzi, R., & Blanke, M. (2011). Prediction of Parametric Roll Resonance by Multilayer Perceptron Neural Network. In Proceedings of the Twenty-first International Offshore and Polar Engineering Conference (pp. 522-529) http://www.isope.org