• DocumentCode
    2364032
  • Title

    Ship Predictor System (SPS)

  • Author

    El-Tahan, Hussein ; El-Tahan, Mona Shahwan

  • Author_Institution
    CORETEC Inc., St. John´´s, Nfld., Canada
  • Volume
    2
  • fYear
    1997
  • fDate
    25-28 May 1997
  • Firstpage
    524
  • Abstract
    Summary form only given. Manoeuvring and docking ships in confined waterways is difficult, time consuming and potentially dangerous. Disturbances caused by changing water currents, wind and waves, the rapidly changing effects of the sea bed, and by the approach of other ships add to manoeuvring difficulty. A ship´s master or pilot can do little to counter these factors until their effect on the course or speed of the ship can be determined. Controlling a ship´s movement is, at best, a reaction to the disturbance´s effect on the ship, rather than the disturbance itself and at times this reaction occurs too late. This is thought to be the primary reason why accidents involving strikings and groundings outnumber all other types of ship accidents in Canada. Realizing the marine industry´s need for a fast, reliable system to predict the future motion of a ship, the Canadian Centre for Marine Communications (CCMC), in collaboration with the Transportation Development Centre (TDC), initiated the SPS project. To meet the requirements and challenge of the project, under the Scientific Authority of TDC and CCMC, CORETEC Incorporated was selected to develop the system. The predictive component of the SPS is an innovative adaptive model that combines artificial intelligence technology (neural networks) with state-of-the-art mathematical modelling techniques. The SPS utilizes various sensors to provide real-time, high-precision prediction of a vessel´s motion. Advanced SPS versions may be used in ship control
  • Keywords
    naval engineering computing; neural nets; ships; CORETEC Incorporated; Canada; SPS; SPS project; Ship Predictor System; accidents; adaptive model; artificial intelligence technology; confined waterways; disturbance; docking; manoeuvring; mathematical modelling; neural networks; real-time high-precision prediction; sea bed; ship control; trajectory; vessel motion; water currents; waves; wind; Collaboration; Communication industry; Counting circuits; Grounding; Industrial accidents; Marine transportation; Marine vehicles; Mathematical model; Predictive models; Shipbuilding industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
  • Conference_Location
    St. Johns, Nfld.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-3716-6
  • Type

    conf

  • DOI
    10.1109/CCECE.1997.608273
  • Filename
    608273