000063453 001__ 63453 000063453 005__ 20190709135623.0 000063453 0247_ $$2doi$$a10.1088/1742-6596/926/1/012012 000063453 0248_ $$2sideral$$a102528 000063453 037__ $$aART-2017-102528 000063453 041__ $$aeng 000063453 100__ $$0(orcid)0000-0002-3830-9308$$aReder, Maik 000063453 245__ $$aModelling Wind Turbine Failures based on Weather Conditions 000063453 260__ $$c2017 000063453 5060_ $$aAccess copy available to the general public$$fUnrestricted 000063453 5203_ $$aA large proportion of the overall costs of a wind farm is directly related to operation and maintenance (O&M) tasks. By applying predictive O&M strategies rather than corrective approaches these costs can be decreased significantly. Here, especially wind turbine (WT) failure models can help to understand the components' degradation processes and enable the operators to anticipate upcoming failures. Usually, these models are based on the age of the systems or components. However, latest research shows that the on-site weather conditions also affect the turbine failure behaviour significantly. This study presents a novel approach to model WT failures based on the environmental conditions to which they are exposed to. The results focus on general WT failures, as well as on four main components: gearbox, generator, pitch and yaw system. A penalised likelihood estimation is used in order to avoid problems due to for example highly correlated input covariates. The relative importance of the model covariates is assessed in order to analyse the effect of each weather parameter on the model output. 000063453 536__ $$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108-AWESOME$$9info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/AWESOME 000063453 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000063453 592__ $$a0.241$$b2017 000063453 593__ $$aPhysics and Astronomy (miscellaneous)$$c2017$$dQ3 000063453 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000063453 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, Julio J.$$uUniversidad de Zaragoza 000063453 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica 000063453 773__ $$g926 (2017), 012012 [9 pp.]$$pJ. Phys.: Conf. Ser.$$tJournal of physics. Conference series$$x1742-6588 000063453 8564_ $$s389292$$uhttps://zaguan.unizar.es/record/63453/files/texto_completo.pdf$$yVersión publicada 000063453 8564_ $$s25783$$uhttps://zaguan.unizar.es/record/63453/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000063453 909CO $$ooai:zaguan.unizar.es:63453$$particulos$$pdriver 000063453 951__ $$a2019-07-09-12:29:25 000063453 980__ $$aARTICLE