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International Conference on Artificial Neural Networks

ICANN 2017: Artificial Neural Networks and Machine Learning – ICANN 2017 pp 385–393Cite as

Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10614))

Abstract

Crash stop maneuvering performance is one of the key indicators of the vessel safety properties for a shipbuilding company. Many different factors affect these performances, from the vessel design to the environmental conditions, hence it is not trivial to assess them accurately during the preliminary design stages. Several first principal equation methods are available to estimate the crash stop maneuvering performance, but unfortunately, these methods usually are either too costly or not accurate enough. To overcome these limitations, the authors propose a new data-driven method, based on the popular Random Forests learning algorithm, for predicting the crash stopping maneuvering performance. Results on real-world data provided by the DAMEN Shipyards show the effectiveness of the proposal.

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Author information

Authors and Affiliations

  1. DIBRIS, University of Genoa, Genoa, Italy

    Luca Oneto, Paolo Sanetti, Francesca Cipollini & Davide Anguita

  2. School of Marine Science and Technology, Newcastle University, Newcastle upon Tyne, UK

    Andrea Coraddu

  3. DAMEN Shipyards Gorinchem, Gorinchem, The Netherlands

    Olena Karpenko & Toine Cleophas

Authors
  1. Luca Oneto
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  2. Andrea Coraddu
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  3. Paolo Sanetti
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  4. Olena Karpenko
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  5. Francesca Cipollini
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  6. Toine Cleophas
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  7. Davide Anguita
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Corresponding author

Correspondence to Luca Oneto .

Editor information

Editors and Affiliations

  1. University of Lausanne, Lausanne, Switzerland

    Alessandra Lintas

  2. University of Genoa, Genoa, Italy

    Stefano Rovetta

  3. Universitat Pompeu Fabra, Barcelona, Spain

    Paul F.M.J. Verschure

  4. University of Lausanne, Lausanne, Switzerland

    Alessandro E.P. Villa

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© 2017 Springer International Publishing AG

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Cite this paper

Oneto, L. et al. (2017). Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction. In: Lintas, A., Rovetta, S., Verschure, P., Villa, A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2017. ICANN 2017. Lecture Notes in Computer Science(), vol 10614. Springer, Cham. https://doi.org/10.1007/978-3-319-68612-7_44

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  • DOI: https://doi.org/10.1007/978-3-319-68612-7_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68611-0

  • Online ISBN: 978-3-319-68612-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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