Abstract
Wind turbines (WT) maintenance management is in continuous development to improve the reliability, availability, maintainability and safety (RAMS)Ruiz de la Hermosa González-Carrato, Raúl of WTs, and to achieve time and cost reductions. The optimisation of the operation reliability involves the supervisory control and dataGarcía Márquez, Fausto Pedro acquisition to guarantee correct levels of RAMS. A fault detection and diagnosis methodology Alexander, Karyotakis is proposed for large-scalePapaelias, Mayorkinos industrial WTs. The method applies the wavelet and Fourier analysis to vibration signals. A number of turbines (up to 3) of the same type will be instrumented in the same wind farm. The data collected from the individual turbines will be fused and analysed together in order to determine the overall reliability of this particular wind farm and wind turbine type. It is expected that data fusion will allow a significant improvement in overall reliability since the value of the information gained from the various condition monitoring systems will be enhanced. Effort will also focus on the successful application of dependable embedded computer systems for the reliable implementation of wind turbine condition monitoring and control technologies.
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