6.2 BMAD. Automatic Detection of Flight Manoeuvres using Wavelets
- Event
- ettc2020 - European Test and Telemetry Conference
2020-06-23 - 2020-06-25
Virtual Conference - Chapter
- 6. Big Data
- Author(s)
- F. Coll Herrero - Airbus Defense and Space, Madrid-Getafe (Spain)
- Pages
- 179 - 184
- DOI
- 10.5162/ettc2020/6.2
- ISBN
- 978-3-9819376-3-3
- Price
- free
Abstract
BMAD is a big data oriented project which aims to automatize most of the flight test analysis process. The idea is to classify and identify automatically all the manoeuvres of ADS (Airbus Defence and Space) aircrafts fleet. Up to now manoeuvres are selected interactively using plotting tools and in some cases these time slices are not stored in a data base. The project consists in the automatic identification of maneuvers, the storage of their representative data in a database, and the exploitation of the data in a web service. This paper will describe the use of wavelets for the detection of typical flight quality manoeuvres applied to real data corresponding to a combat aircraft.