Objective
Helicopters availability, in-flight reliability and low cost maintenance are major concerns for helicopters operators. HUMS (sensor based health monitoring) is an enabling technology seeking to provide a Condition-Based Maintenance (CBM) relying on automated diagnosis / prognosis for aircraft components health. Challenges for HUMS are to implement automated low cost CBM systems, as an alternative to periodic physical inspections. Existing HUMS technologies tend to generate high rates of false alarms due to use of fixed alarm thresholds. Automated software analysis of fleet operating data recorded by on board sensors is a major scientific direction to reach adaptive , reliable, and low cost HUMS systems. The ADHER R and D project will improve HUMS performances in 3 directions : 1) Include simultaneous Oil Debris Monitoring (ODM) and Vibrations monitoring, using available ODM and Vibrations sensors 2) Analyze new physical models for ODM and Vibrations characteristics of helicopter rotating parts (gearboxes, bearings, etc.) to calibrate ageing effects and progressive emergence of failures 3) Conceive and validate innovative softwares dedicated to Auto-Adaptive Diagnosis / Prognosis of rotating parts potential failures for helicopters. Based on Self-Learning Algorithms, these softwares will analyze helicopters fleet data and their time evolution. New physical models and Automatically Learned functional relationships will improve links between sensor recorded features, helicopter usage,and regime characteristics. The project main goal is to enable "fleet scale" health monitoring, with robust failure diagnosis / prognosis, relying on multi-sensors monitoring , and automated software analysis of sensor recorded data. This will reduce false alarms rates and maintenance costs, and increase operational aircraft availability, enabling efficient scheduling of preventive maintenance.
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.
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- natural sciences computer and information sciences data science data mining
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft rotorcraft
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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.
FP6-2005-AERO-1
See other projects for this call
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
Marignane
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.