Avionics Testing with Artificial Intelligence Support

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00343653" target="_blank" >RIV/68407700:21230/20:00343653 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/DASC50938.2020.9256563" target="_blank" >https://doi.org/10.1109/DASC50938.2020.9256563</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DASC50938.2020.9256563" target="_blank" >10.1109/DASC50938.2020.9256563</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Avionics Testing with Artificial Intelligence Support

Popis výsledku v původním jazyce

This paper describes a concept allowing for automated testing of avionics installed on a test bench where concepts of Artificial Intelligence are used. This test bench technology provides means for fast discovery of changes in behavior of new releases of avionics software where feature corrections can lead to modified behavior of other functions. The tested avionics is installed in a simulator test bench allowing to simulate behavior and systems of the respective airplane type. The test bench allows the pilot himself to test the functionality which can be repeated by the automation system itself. The technology behind the simulator collects all the data from the test bench internal buses under different conditions to be used as a reference to identity deviations from expected behavior of the avionic systems. The Artificial Intelligence methods used in our approach include state space search algorithms for determination of required control routines and data learning related to identification of deviations in behavior.

Název v anglickém jazyce

Avionics Testing with Artificial Intelligence Support

Popis výsledku anglicky

This paper describes a concept allowing for automated testing of avionics installed on a test bench where concepts of Artificial Intelligence are used. This test bench technology provides means for fast discovery of changes in behavior of new releases of avionics software where feature corrections can lead to modified behavior of other functions. The tested avionics is installed in a simulator test bench allowing to simulate behavior and systems of the respective airplane type. The test bench allows the pilot himself to test the functionality which can be repeated by the automation system itself. The technology behind the simulator collects all the data from the test bench internal buses under different conditions to be used as a reference to identity deviations from expected behavior of the avionic systems. The Artificial Intelligence methods used in our approach include state space search algorithms for determination of required control routines and data learning related to identification of deviations in behavior.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20204 - Robotics and automatic control

Projekt

<a href="/cs/project/TF06000082" target="_blank" >TF06000082: Systém pro zvýšení situačního povědomí operátora a management provozu bezpilotních prostředků</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC) Proceedings

ISBN

978-1-7281-9825-5

ISSN

2155-7195

e-ISSN

—

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

IEEE Service Center

Místo vydání

Piscataway

Místo konání akce

San Antonio, Texas

Datum konání akce

11. 10. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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