Error detection analysis of aircraft information-communication system using information entropy

Erna Fucic ()
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Erna Fucic: c/o University of Zagreb – Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia

Interdisciplinary Description of Complex Systems - scientific journal, 2016, vol. 14, issue 1, 80-87

Abstract: Contemporary transport aircraft information-communication system is extremely sophisticated. The aim of the current study is to give contribution to the current knowledge of information entropy, and to show how its alteration could indicate possible errors, which may lead to preventing future aircraft calamities. In this study a principle model of such system is described, consisting of two peripheral, sensory units and their central, processing units, upon which a numerical simulation is carried out. Two states of the system are defined – states of regular and irregular dynamics. Data transfer between system elements is defined through information entropy, whose average change and accompanying standard deviation shows the difference between the regular and non-regular state. When introducing an error of the same kind upon each of the sensors, the type of results corresponds to a sufficiently intensive deviation, which may make error detection by information entropy analysis possible.

Keywords: information entropy; aircraft information-communication system; error analysis (search for similar items in EconPapers)
JEL-codes: Z19 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:zna:indecs:v:14:y:2016:i:1:p:80-87

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