Project Description
The project mainly aims to develop a system of diagnosis and prediction oriented to wind turbines, which can estimate automatically and remotely the operation status.
This system will:
- Increase the availability, efficiency and reliability of wind farms
- Reduce time periods and costs associated to maintenance
Theros will integrate in one system, analysis of different sources of information in order to achieve optimum detection, diagnosis and prediction of possible working failure of the wind turbine.
Different information sources:
- Register of SCADA data
- Register of vibrations along the power circuit in the turbine
- State of oils / lubricants inside the turbine
Analysis of different natures:
- Deterministic, aimed at developing expert systems
- Heuristic, aimed at developing machine learning systems
Two kind of Analysis :
- Deterministic, oriented to the develpment of expert systems
- Heuristic, Oriented to the development of automatic self-learning systems
Collaborating Companies or Organisations
Indra's Role
- Management and coordination
- Validation of results
- Development of system SW applications
- Development of communications system
- Development, installation and optimization of HW
- Data collection to validate the results
- Development of an experimental active demonstrator of a MEMS vibration sensor
Universities and Technological Centres
- Seville University - Mechanical Engineering Group
- Seville University - Automation and Robotics Group
Technologies used
- Data mining
- Spectral analysis of vibrations
- Artificial Inteligence
- MEMS (Micro Electro Mechanical Systems)
- Tribology
More information
This Project has been funded by the Spanish Ministry of Economy and Competitiveness (MINECO) within the National strategy for Scientific Research, Technologic Research 2008-2011.
ONU Sustainable Development Goals:
