000056780 001__ 56780 000056780 005__ 20200221144314.0 000056780 0247_ $$2doi$$a10.1088/1742-6596/753/7/072027 000056780 0248_ $$2sideral$$a96225 000056780 037__ $$aART-2016-96225 000056780 041__ $$aeng 000056780 100__ $$0(orcid)0000-0002-3830-9308$$aReder, M.D. 000056780 245__ $$aWind Turbine Failures - Tackling current Problems in Failure Data Analysis 000056780 260__ $$c2016 000056780 5060_ $$aAccess copy available to the general public$$fUnrestricted 000056780 5203_ $$aThe wind industry has been growing significantly over the past decades, resulting in a remarkable increase in installed wind power capacity. Turbine technologies are rapidly evolving in terms of complexity and size, and there is an urgent need for cost effective operation and maintenance (O&M) strategies. Especially unplanned downtime represents one of the main cost drivers of a modern wind farm. Here, reliability and failure prediction models can enable operators to apply preventive O&M strategies rather than corrective actions. In order to develop these models, the failure rates and downtimes of wind turbine (WT) components have to be understood profoundly. This paper is focused on tackling three of the main issues related to WT failure analyses. These are, the non-uniform data treatment, the scarcity of available failure analyses, and the lack of investigation on alternative data sources. For this, a modernised form of an existing WT taxonomy is introduced. Additionally, an extensive analysis of historical failure and downtime data of more than 4300 turbines is presented. Finally, the possibilities to encounter the lack of available failure data by complementing historical databases with Supervisory Control and Data Acquisition (SCADA) alarms are evaluated. 000056780 536__ $$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108-AWESOME$$9info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/AWESOME 000056780 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000056780 592__ $$a0.24$$b2016 000056780 593__ $$aPhysics and Astronomy (miscellaneous)$$c2016$$dQ3 000056780 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000056780 700__ $$aGonzalez, E. 000056780 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, J.J.$$uUniversidad de Zaragoza 000056780 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica 000056780 773__ $$g753 (2016), 072027 [11 pp.]$$pJ. Phys.: Conf. Ser.$$tJournal of physics. Conference series$$x1742-6588 000056780 8564_ $$s2181805$$uhttps://zaguan.unizar.es/record/56780/files/texto_completo.pdf$$yVersión publicada 000056780 8564_ $$s88960$$uhttps://zaguan.unizar.es/record/56780/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000056780 909CO $$ooai:zaguan.unizar.es:56780$$particulos$$pdriver 000056780 951__ $$a2020-02-21-13:38:49 000056780 980__ $$aARTICLE