Objective
The ROBCOM project aims at the development of an integrated, on-line and off-line, condition monitoring and performance evaluation expert system for industrial robots. The system will be able to detect and classify incipient failures or decalibration trends of the robot, such that production time loss due to curative maintenance can be minimised.
A specific set of robot errors will be studied throughout the project. These errors are related to the following robot subsystems: sensors, arm mechanism, control unit, motor, gear train and brakes. The following parameters are studied: robot endpoint position (ISO 9283 Robot Performance Test Standard), vibration, temperature, forces and electric signals.
Using modern digital signal processing techniques, like singular value decomposition, spectral distance, neural net modelling and fuzzy logic, a simulation of the dynamic model of the robot will be executed for different robot configurations, to study the influence of errors on the robot performance.
Eventually, the ROBCOM-system will be developed into an expert system, providing advice on the type(s) of incipient failures developing in the robot and on the corrective actions to be taken. The result of this project will therefore be a fully integrated error diagnosis system for robot systems and other machinery working in transitory conditions, useful for assessing new equipment as well as for failure detection and predictive maintenance planning during operation.
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
- natural sciences computer and information sciences artificial intelligence expert systems
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- 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.
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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.
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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
3001 HEVERLEE
Belgium
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.