Methods and Tools for the Operational Reliability Optimisation of Large-Scale Industrial Wind Turbines
- 278 Downloads
Wind turbines (WT) maintenance management is in continuous development to improve the reliability, availability, maintainability and safety (RAMS) of WTs, and to achieve time and cost reductions. The optimisation of the operation reliability involves the supervisory control and data acquisition to guarantee correct levels of RAMS. A fault detection and diagnosis methodology is proposed for large-scale 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.
KeywordsWind turbines Maintenance management Vibration Fast Fourier transform Wavelet
This project is a partly funded project by the EC under the FP7 framework program (Ref.: 322430), OPTIMUS and the MINECO project WindSeaEnergy (Ref.: DPI2012-31579).
- 3.Amirat Y, Choqueuse V, Benbouzid M (2012) Wind turbine bearing failure detection using generator stator current homopolar component ensemble empirical mode decomposition. In: IECON 2012–38th annual conference on IEEE industrial electronics society. IEEE, pp 3937–3942Google Scholar
- 6.Bracewell R (2000) The Fast Fourier Transform and Its Applications, vol 1. McGraw Hill Higher Education, New YorkGoogle Scholar
- 10.Chebil J, Noel G et al (2009) Wavelet decomposition for the detection and diagnosis of faults in rolling element bearings. Jordan J Mech Ind Eng 3:260–267Google Scholar
- 14.Garcia FP, Pinar JM et al (2012) Wind turbines maintenance management based on FTA and BDDGoogle Scholar
- 17.Jayaswal P, Agrawal B (2011) New trends in wind turbine condition monitoring system. J Emerg Trends Eng Dev 3:133–148Google Scholar
- 18.Jia M, Wang Y (2003) Application of wavelet transformation in signal processing for vibrating platform. J Shenyang Inst Technol 22:53–55Google Scholar
- 23.Nieto N, Marcela D (2008) The use of the discrete wavelet transform in the reconstruction of sinusoidal signals. Scientia et Technica 381–386Google Scholar
- 24.Oberst U (2007) The fast Fourier transform. SIAM J Control Optim 4:1–45Google Scholar