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Modelling the Fuel Consumption of a NRP Ship Using a Kalman Filter Approach

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14105))

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Abstract

The Kalman filter can be applied in the most diverse areas of knowledge, for example, medicine, agriculture, social sciences, computing, etc. The Kalman filter is a recursive tool that can be used under the aim of Navigation and Integration Systems. We make a brief approach to the derivation of a Kalman filter dividing the work into two parts. By first, a Kalman filter is used to simulate different situations analyzing the “response” of the filter considering distinct cases for distinct states of the shop motor; at second, a specific Kalman filter is built to filter the fuel consumption data collected directly from the on-board records of a ship from Portuguese Republic.

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Acknowledgements

This work was supported by Portuguese funds through the Center of Naval Research (CINAV), Portuguese Naval Academy, Portugal and The Portuguese Foundation for Science and Technology (FCT), through the Center for Computational and Stochastic Mathematics (CEMAT), University of Lisbon, Portugal, project UID/Multi/04621/2019.

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Authors and Affiliations

  1. CEMAT, Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, Lisbon University, 1048-001, Lisbon, Portugal

    M. Filomena Teodoro

  2. CINAV, Center of Naval Research, Naval Academy, Military University, 2810-001, Almada, Portugal

    M. Filomena Teodoro, Pedro Carvalho & Ana Trindade

Authors
  1. M. Filomena Teodoro
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  2. Pedro Carvalho
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  3. Ana Trindade
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Corresponding author

Correspondence to M. Filomena Teodoro .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Basilicata, Potenza, Italy

    Francesco Scorza

  6. University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

  7. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

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Teodoro, M.F., Carvalho, P., Trindade, A. (2023). Modelling the Fuel Consumption of a NRP Ship Using a Kalman Filter Approach. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14105. Springer, Cham. https://doi.org/10.1007/978-3-031-37108-0_22

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  • DOI: https://doi.org/10.1007/978-3-031-37108-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37107-3

  • Online ISBN: 978-3-031-37108-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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