Time Series Classification via Deep Learning

IBK would like to investigate the potential of deep learning for applications in the flight physics domain. A first study in the field of time series classification has been carried out using the recordings from the Human Activity Recognition (HAR) dataset in a KERAS model. The signals, classes and the result of the LSTM / CNN network are visualized in an interactive dashboard. After a first successful demonstration the prototype shall now be tested on a more complex task, the classification of segments and events based on real flight recordings.

Read more
First powered test-campaign of new C295-WT model (delivered by the JTI-CS project POLITE) successfully performed

The modular wind tunnel model of the C295, which was design by the partners IBK, ARA, RUAG and DREAM in the frame of the JTI-CS project POLITE, has been successfully tested in RUAG LWTE in several power-on cruise and high-lift conditions in the last weeks.

Read more
IBK SUCCESFULLY ATTENDED THE TANDEM AERODAYS 2019 IN BUCHAREST

IBK was present at the Aerodays 2019 Congress in Bucharest, from the 27th to the 30th of May, by presenting two scientific topics performed in the framework of two different projects, T-WING and POLITE.

Read more