74860 20200117211559.0 doi 10.1088/1742-6596/1037/3/032038 sideral 107160 ART-2018-107160 eng (orcid)0000-0002-3698-6284 Gonzalez, E. Statistical Evaluation of SCADA data for Wind Turbine Condition Monitoring and Farm Assessment 2018 Access copy available to the general public Unrestricted Operational data from wind farms is crucial for wind turbine condition monitoring and performance assessment. In this paper, we analyse three wind farms with the aim to monitor environmental and operational conditions that might result in underperformance or failures. The assessment includes a simple wind speed characterisation and wake analysis. The evolution of statistical parameters is used to identify anomalous turbine behaviour. In total, 88 turbines and 12 failures are analysed, covering different component failures. Notwithstanding the short period of data available, several operational parameters are found to deviate from the farm trend in some turbines affected by failures. As a result, some parameters show better monitoring capabilities than others, for the detection of certain failures. However, the limitations of SCADA statistics are also shown as not all failures showed anomalies in the observed parameters. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108-AWESOME info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/AWESOME info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.221 2018 Physics and Astronomy (miscellaneous) 2018 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Tautz-Weinert, J. (orcid)0000-0003-2360-0845 Melero, J.J. Universidad de Zaragoza Watson, S.J. 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 1037 (2018), 032038 [11 pp] J. Phys.: Conf. Ser. Journal of physics. Conference series 1742-6588 3713901 http://zaguan.unizar.es/record/74860/files/texto_completo.pdf Versión publicada 13748 http://zaguan.unizar.es/record/74860/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:74860 articulos driver 2020-01-17-21:10:57 ARTICLE