9.4 TABAI. Test Assistant Based on Artificial Intelligence
- Event
- ettc2022 - European Test and Telemetry Conference
2022-05-10 - 2022-05-12
Nuremberg - Chapter
- 9. Machine Learning & Artificial Intelligence
- Author(s)
- F. Coll Herrero, P. Rubio Alvarez - Airbus Defense and Space, Madrid (Spain)
- Pages
- 220 - 226
- DOI
- 10.5162/ettc2022/9.4
- ISBN
- 978-3-9819376-6-4
- Price
- free
Abstract
An Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. AI include expert systems, natural language processing, speech recognition, machine vision, pattern recognition, etc. Artificial intelligence has been used in Test for several years specifically in the field of Computer Vision - for example in safe separation (store trajectory calculation), aerial delivery (paratrooper’s trajectory calculation), and refuelling manoeuvres (approach speed calculation). Also other projects where a prototype in which we have already developed or there is an interest in its study and evaluation, such as: pattern recognition based on wavelets for automatic manoeuvre detection (BMAD), real time object detection (basket detection, relative position, approach speed…), measuring pilots workload (eyes, head and hand movement) and FTI validation (Parameters anomaly detection, bad calibrated sensors, failure prediction). This paper will describe a project called TABAI which consists of a Test assistant based on artificial intelligence. TABAI is an assistant like Alexa or Siri to help in the Test activities. Using TABAI it will be possible to access to all the Test information that currently is available in a database or in documents or stored in data files. The potential of TABAI is enormous, from obtaining the maximum value of a flight parameter to become the entry point for many test tools.