Objective
The More Electric Aircraft (MEA) concept promises lower fuel consumption, lower emissions, and reduced operating costs. Fundamental to MEA is the replacement of the inefficient and maintenance intensive hydraulic, pneumatic and bleed air powered systems present on today’s aircraft with electrically powered systems. New aircraft designs are beginning to implement 230 volt variable frequency AC and 270-540 volt DC electrical power systems to enable the MEA concepts. The risk of high energy faults and electrical hazards in these higher voltage systems is increased, thus the ability to detect and isolate electrical faults is critical to the MEA. Eaton’s world leading experience in arcing fault detection, including over 100 arc fault patents, can solve these problems.
Eaton proposes to develop arc fault detection modules for 270/540VDC and 230VAC aircraft systems. This will involve the characterization of arcing faults through computer modeling and empirical testing and data acquisition of fault voltage and current signatures. Arc fault test procedures and apparatus will be designed to replicate in a laboratory environment, arcing faults representative of what would occur in an actual aircraft. Normal operational voltage and current signature profiles of existing electrical loads will also be acquired to facilitate nuisance trip immunity in the detection algorithm design. Using computer based analysis and modeling, arc detection algorithms will be developed. The Eaton team will also explore system design options to limit arc occurrences and damage. Performance of the detection algorithms will be verified against the fault and load signature database. Arc fault detection modules will be designed and built to implement the algorithms. These prototype modules will be integrated into power distribution switching components. Finally, the Eaton team will provide technical support for field testing and verification of the integrated AFD/switching device solution.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesdatabases
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyenvironmental engineeringenergy and fuels
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Topic(s)
Call for proposal
SP1-JTI-CS-2010-01
See other projects for this call
Funding Scheme
JTI-CS - Joint Technology Initiatives - Clean SkyCoordinator
PO14 9ED TITCHFIELD FAREHAM
United Kingdom