Objective
Maintenance activities can account for as much as 20% of an operator's direct operating costs and have remained at this level for many years. However, there is scope for increasing the efficiency of the maintenance process. For example, it is estimated that line mechanics spend 30% of their time trying to access information to diagnose and rectify failures. Additionally errors in the maintenance process can impact on aircraft safety. In a recent survey the incidence of human error in the maintenance task has been estimated as contributing to 15% of aircraft accidents. The occurrence of the need for unscheduled maintenance can introduce costly delays and cancellations if the problem cannot be rectified in a timely manner. The objective of the TATEM Integrated Project is to validate technologies and techniques which can be used to transfer unscheduled maintenance to scheduled maintenance and provide the means to make the maintenance task more efficient and effective. The technologies and techniques to be validated include: Novel onboard sensor technology to gather data from the aircraft systems (avionics, utilities, actuation, engines and structures) Maintenance-free avionics Signal processing techniques (e.g. fuzzy, logic, neural networks, model-based reasoning) which can be used to convert data into information about the health of the systems. Diagnostic methods to identify and locate failures and malfunctions and so reduce the number of incidences of no fault found Prognostic methods to provide support for preventative maintenance actions Decision support techniques to provide the maintenance crew with process-oriented information and guidance Human interface technologies to provide the ground crew with information at their point of work.'
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- social sciences psychology ergonomics
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2002-AERO-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
CHELTENHAM
United Kingdom
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Participants (53)
TOULOUSE
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TEL AVIV
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HELLINIKON
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PALEO FALIRO, ATHENS
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MARIGNANE
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MIÑANO (ÁLAVA)
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COLOMBES
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LOD
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CRAIOVA
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MOSCHATO - ATHENS
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012 PORTO SALVO
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PATRAS
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BP 298 LE BOURGET DU LAC
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Muenchen
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90502 AMSTERDAM
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ATHENS
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ATHENS
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MIGDAL HA'EMEK'
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PARIS
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BP 1311 TOULOUSE
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PARIS
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PARIS
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MILMORT (HERSTAL)
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EIBAR
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MASSY
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BRISTOL
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SCHIMATARI
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FARNBOROUGH, HAMPSHIRE
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CAMPI BISENZIO (FI)
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101262 Ueberlingen
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BRISTOL
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950109 HAMBURG
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CP3176 TORINO
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DARMSTADT
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STUTTGART
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YEOVIL, SOMERSET
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RION, PATRAS
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DUBLIN
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DUBLIN
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CHATOU
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PRESTON
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SHEFFIELD
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GETAFE (MADRID)
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DUBLIN
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BORDES
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LEOGNAN
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PARIS
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PARIS
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FISHERMANS BEND, VICTORIA
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COLOMIERS
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ROISSY CHARLES DE GAULLE
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NA
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801160 MUNICH
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