Electromechanical Landing gear system Integration for Small Aircraft
Sector: Aerospace & Defense • Location: Italy, France
Source: EU Funding & Tenders Portal
The E-LISA project is aimed at developing, manufacturing, testing, and qualifying an innovative Iron Bird for integration tests of EMA actuator and electric brake for SAT application. The E-LISA Iron Bird will be able to reproduce in a realistic and comprehensive way the landing gears test cases, foreseen by certification specifications and topic leader requirements. It will consist in a multi-fun
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The E-LISA project is aimed at developing, manufacturing, testing, and qualifying an innovative Iron Bird for integration tests of EMA actuator and electric brake for SAT application. The E-LISA Iron Bird will be able to reproduce in a realistic and comprehensive way the landing gears test cases, foreseen by certification specifications and topic leader requirements. It will consist in a multi-functional intelligent test facility integrating hardware and software allowing performing all the tests and analyses perceived as fundamental to demonstrate the maturity of an electro-mechanical landing gear, hence paving the way for its implementation in a small passenger aircraft. This with the purpose of advancing more electric LG Brake systems and Electro Mechanical Actuators for Landing Gear Systems to above TRL5, in respect with mitigation of safety risks and cost reductions along the certification phase. Along the execution of the reliability tests, a Health Monitoring a Prognostic framework, from the EMA and Brake linked projects, will be further developed, tuned and refined, thanks to the availability of big data coming from the tests. To this purpose a methodology suitable for deep learning from big data obtained from the test campaign will be developed and applied for reaching project goals. Special care will be dedicated to the assessment of the effective application of proposed innovative technologies since the early stages of design. Although E-LISA Consortium has the necessary heritage and skills to provide and improve already qualified state-of-the-art solutions that the consortium members have developed for previous and ambitious projects, the applicants will purse to goal of going beyond state of art by proposing and developing advanced innovative solutions, some of them in the frame of Industry 4.0 KET (Key Enabling Technologies). |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
