000078962 001__ 78962
000078962 005__ 20200117221612.0
000078962 0247_ $$2doi$$a10.1002/we.2201
000078962 0248_ $$2sideral$$a107317
000078962 037__ $$aART-2018-107317
000078962 041__ $$aeng
000078962 100__ $$0(orcid)0000-0002-3830-9308$$aReder, Maik
000078962 245__ $$aModelling the effects of environmental conditions on wind turbine failures
000078962 260__ $$c2018
000078962 5060_ $$aAccess copy available to the general public$$fUnrestricted
000078962 5203_ $$aOperation and maintenance is one of the main cost drivers of modern wind farms and has become an emerging field of research over the past years. Understanding the failure behaviour of wind turbines (WTs) can significantly enhance operation and maintenance processes and is essential for developing reliability and strategic maintenance models. Previous research has shown that especially the environmental conditions, to which the turbines are exposed to, affect their reliability drastically. This paper compares several advanced modelling techniques and proposes a novel approach to model WT system and component failures based on the site-specific weather conditions. Furthermore, to avoid common problems in failure modelling, procedures for variable selection and complexity reduction are discussed and incorporated. This is applied to a big failure database comprised of 11 wind farms and 383 turbines. The results show that the model performs very well in several situations such as modelling general WT failures as well as failures of specific components. The latter is exemplified using gearbox failures.
000078962 536__ $$9info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/AWESOME$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108-AWESOME
000078962 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000078962 590__ $$a3.125$$b2018
000078962 591__ $$aENGINEERING, MECHANICAL$$b26 / 129 = 0.202$$c2018$$dQ1$$eT1
000078962 591__ $$aENERGY & FUELS$$b50 / 103 = 0.485$$c2018$$dQ2$$eT2
000078962 592__ $$a1.047$$b2018
000078962 593__ $$aRenewable Energy, Sustainability and the Environment$$c2018$$dQ2
000078962 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000078962 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, Julio J.$$uUniversidad de Zaragoza
000078962 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000078962 773__ $$g21, 10 (2018), 876-891$$pWind energ.$$tWIND ENERGY$$x1095-4244
000078962 8564_ $$s985107$$uhttps://zaguan.unizar.es/record/78962/files/texto_completo.pdf$$yPostprint
000078962 8564_ $$s82565$$uhttps://zaguan.unizar.es/record/78962/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000078962 909CO $$ooai:zaguan.unizar.es:78962$$particulos$$pdriver
000078962 951__ $$a2020-01-17-21:49:25
000078962 980__ $$aARTICLE