Objective
Wind turbines might be running with faults or in a non-optimal condition without exceeding any limits monitored by the controller. Examples are yaw errors, various rotor faults and too high rated power. This can result in reduced power production and/or reduced lifetime for the components. The objective of the project is to developed methods for identification and evaluation of various faults or non-optimal operation. The methods shall be easy and cheap to use. The basic method for achieving that is not heavy instrumentation, but advanced analysis of few data sources. Spectrum analysis of the power signal and/or measurement from a 3-D accelerometer in the nacelle is the way for achieving that. Statistical techniques (rain flow counting and others) can be used for analysing the same signals for a evaluation of the fatigue exposure of the drive train as well as the structure. An important part of the project is to develop methods of data reference determination. In order to evaluate whether some measured data expresses an unacceptable condition or not, a reference for the given type of turbine must exist. References can be based on detailed knowledge to the design basis for a given wind turbine, but such information are in many cases not available for the intended user of thetechniques. Some general references can be established for various types of turbines, but more accurate references can be developed using an expert system analysing more measurements on the same type of turbine.
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 environmental engineering energy and fuels renewable energy wind energy
- natural sciences computer and information sciences artificial intelligence expert systems
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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.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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
4000 Roskilde
Denmark
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.