56780 20200221144314.0 doi 10.1088/1742-6596/753/7/072027 sideral 96225 ART-2016-96225 eng (orcid)0000-0002-3830-9308 Reder, M.D. Wind Turbine Failures - Tackling current Problems in Failure Data Analysis 2016 Access copy available to the general public Unrestricted The wind industry has been growing significantly over the past decades, resulting in a remarkable increase in installed wind power capacity. Turbine technologies are rapidly evolving in terms of complexity and size, and there is an urgent need for cost effective operation and maintenance (O&M) strategies. Especially unplanned downtime represents one of the main cost drivers of a modern wind farm. Here, reliability and failure prediction models can enable operators to apply preventive O&M strategies rather than corrective actions. In order to develop these models, the failure rates and downtimes of wind turbine (WT) components have to be understood profoundly. This paper is focused on tackling three of the main issues related to WT failure analyses. These are, the non-uniform data treatment, the scarcity of available failure analyses, and the lack of investigation on alternative data sources. For this, a modernised form of an existing WT taxonomy is introduced. Additionally, an extensive analysis of historical failure and downtime data of more than 4300 turbines is presented. Finally, the possibilities to encounter the lack of available failure data by complementing historical databases with Supervisory Control and Data Acquisition (SCADA) alarms are evaluated. 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/ 0.24 2016 Physics and Astronomy (miscellaneous) 2016 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Gonzalez, E. (orcid)0000-0003-2360-0845 Melero, J.J. Universidad de Zaragoza 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 753 (2016), 072027 [11 pp.] J. Phys.: Conf. Ser. Journal of physics. Conference series 1742-6588 2181805 http://zaguan.unizar.es/record/56780/files/texto_completo.pdf Versión publicada 88960 http://zaguan.unizar.es/record/56780/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:56780 articulos driver 2020-02-21-13:38:49 ARTICLE