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Advanced Data Methods for Improved Tiltrotor Test and Design

PROJECTS
Funding
European
European Union
Duration
-
Status
Ongoing
Geo-spatial type
Infrastructure Node
Total project cost
€1 718 330
EU Contribution
€1 718 330
Project Acronym
ADMITTED
STRIA Roadmaps
Vehicle design and manufacturing (VDM)
Transport mode
Airborne icon
Transport policies
Digitalisation,
Other specified
Transport sectors
Passenger transport,
Freight transport

Overview

Call for proposal
H2020-CS2-CFP08-2018-01
Link to CORDIS
Objectives

Flight testing is an important phase during the development of an aircraft to validate the design. During flight, data is gathered, and design problems are identified and solved. The collected data are fundamental for the analysis and Aircraft are properly instrumented to generate large amounts of information. Such a huge amount of data needs to be properly evaluated and traditional methods and platforms are no more effective.

Flight testing is a significant cost contributor to the aircraft production life cycle and is still extensively deployed. Flight test programmes take several years, and more prototypes are built to reduce lead times. Strong adherence to rigour safety and certification requirements and generally unchanged circular advisories inhibits the potential improvement of flight test designs. Innovative algorithms and statistical estimation are not achieving its full potential in the industrialized flight-testing environment.

The methods in this proposal increase the quality and productivity of an experiment, leading to a required test point reduction or increased predictive capabilities. The purpose of this project is to define and implement a state-of-the-art platform able to support data analysis. This is achieved by adopting a complex hardware architecture to support big data analysis and implementing specific algorithms to support data correlation, time series management and statistical analysis.

Furthermore, to support flight test engineers, novel approaches based on machine learning are provided to support the technicians in detecting specific flight conditions. The same platform is also adapted to support the development of the Next Generation Civil Tilt Rotor Technology Demonstrator.

Funding

Parent Programmes
Institution Type
Public institution
Institution Name
European Commission
Type of funding
Public (EU)
Specific funding programme
H2020-EU.3.4.5.3.
Other Programme
JTI-CS2-2018-CfP08-FRC-01-18 Adoption of a “Digital Transformation” approach to improve NGCTR design and simulation

Partners

Lead Organisation
Organisation
Txt E-Solutions Spa
Address
Via Frigia 27, 20126 MILANO, Italy
Organisation website
EU Contribution
€790 000
Partner Organisations
Organisation
Stichting Centrum Voor De Ontwikkeling Van Transport En Logistiek In Europa
Address
Van Nelleweg 1, 3044 BC Rotterdam, Netherlands
Organisation website
EU Contribution
€445 830
Organisation
Scuola Universitaria Professionale Della Svizzera Italiana
Address
STABILE LE GERRE, 6928 MANNO, Switzerland
Organisation website
EU Contribution
€482 500

Technologies

Technology Theme
Aircraft operations and safety
Technology
Safety (and maintenance) improvement through automated flight data analysis
Development phase
Research/Invention

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