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
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