• DocumentCode
    1945717
  • Title

    Telediagnosis and maintenance of the ship from land, using principal component analysis to compress acquired data offshore

  • Author

    Sotés, Iranzu ; Larrabe, Juan Luis ; Gómez, Miguel Angel ; Alvarez, Francisco José ; Rey, M. Carmen ; Mielgo, Victoria E. ; Gastiasoro, Elena

  • Author_Institution
    Dept. of Nautical Sci. & Marine Syst., H.T.S. Nautical & Naval Machines, Portugalete, Portugal
  • fYear
    2010
  • fDate
    15-16 Nov. 2010
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    At sea, voice and data communications have virtually global coverage via satellite. Satellite communications are increasing the bandwidth and lowering the cost, but are still far from levels that are in earth. The Principal components analysis (PCA) is a statistical technique used for lossy or non exact compression data; is a common tool for the search of pattern of multidimensional data sets. The assertion of this study was the possibility of using the PCA theory to compress, with sufficient accuracy, the large amount of data that are collected on board, and then send them all via satellite, in a cheaper or/and faster way than traditionally. This strategy is appropriate for decision making about telediagnosis and maintenance of the ship using ground equipment. Consequently, significant savings are achieved in telecommunication costs and telecommunication times.
  • Keywords
    data communication; data compression; decision making; maintenance engineering; marine engineering; principal component analysis; satellite communication; search problems; ships; teleworking; data communication; data compression; decision making; principal component analysis; satellite communication; ship maintenance; statistical technique; telediagnosis; voice communication; Correlation; Data communication; Eigenvalues and eigenfunctions; Marine vehicles; Principal component analysis; Satellites; compression; non-exact introduction; satellite; telecommunications; vessel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6791-4
  • Type

    conf

  • DOI
    10.1109/ISKE.2010.5680826
  • Filename
    5680826