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Advanced Data Methods for Improved Tiltrotor Test and Design

Project description

Empowering rotorcraft testing and design with big data analysis and artificial intelligence

Aircraft instruments and sensors generate vast amounts of data during prototype test flights that can’t be correctly assessed with conventional methods and platforms. This prevents the leveraging of new digital technologies to empower and enhance the flight test design. What is more, the potential of novel artificial intelligence (AI) algorithms and statistical assessment is not fully adopted in the flight-testing domain. The EU-funded ADMITTED project defines and operates an advanced platform enabling the analysis of massive data gathered from test flights. To do so, it will adopt a complex hardware and software architecture to support big data analysis. It will also apply specialised AI algorithms to support data connection, time series management and statistical analysis.

Call for proposal

H2020-CS2-CFP08-2018-01
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Coordinator

TXT E-SOLUTIONS SPA
Address
Via Frigia 27
20126 Milano
Italy
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 790 000

Participants (2)

STICHTING KONINKLIJK NEDERLANDS LUCHT - EN RUIMTEVAARTCENTRUM
Netherlands
EU contribution
€ 445 830
Address
Anthony Fokkerweg 2
1059 CM Amsterdam
Activity type
Research Organisations
SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA
Switzerland
EU contribution
€ 482 500
Address
Stabile Le Gerre
6928 Manno
Activity type
Higher or Secondary Education Establishments