Model identification and validation of and Intelligent Inertial Position System based on Machine Learning Techniques

J. Portela A. Muñoz E.F. Sánchez-Úbeda

February 2022 - April 2022

Funding entity Airbus Defence and Space S.A.U

The objective of this project is to identify machine learning models to improve the accuracy of an inertial position system and validate the methodology with a large dataset of flights.

Research topics:
• Smart industry: maintenance, reliability and diagnosis with self and deep learning techniques
• Data analytics

AIRBUS_DERIVA_2022