Avionics Testing with Artificial Intelligence Support

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Avionics Testing with Artificial Intelligence Support
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/TF06000082" target="_blank" >TF06000082: System for Situational Awareness Improvement and UAS Operation Management</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC) Proceedings
ISBN
978-1-7281-9825-5
ISSN
2155-7195
e-ISSN
—
Number of pages
5
Pages from-to
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Publisher name
IEEE Service Center
Place of publication
Piscataway
Event location
San Antonio, Texas
Event date
Oct 11, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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