000063423 001__ 63423
000063423 005__ 20190709135524.0
000063423 0247_ $$2doi$$a10.1088/1742-6596/926/1/012009
000063423 0248_ $$2sideral$$a102527
000063423 037__ $$aART-2017-102527
000063423 041__ $$aeng
000063423 100__ $$aGonzález, E.
000063423 245__ $$aOn the use of high-frequency SCADA data for improved wind turbine performance monitoring
000063423 260__ $$c2017
000063423 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063423 5203_ $$aSCADA-based condition monitoring of wind turbines facilitates the move from costly corrective repairs towards more proactive maintenance strategies. In this work, we advocate the use of high-frequency SCADA data and quantile regression to build a cost effective performance monitoring tool. The benefits of the approach are demonstrated through the comparison between state-of-the-art deterministic power curve modelling techniques and the suggested probabilistic model. Detection capabilities are compared for low and high-frequency SCADA data, providing evidence for monitoring at higher resolutions. Operational data from healthy and faulty turbines are used to provide a practical example of usage with the proposed tool, effectively achieving the detection of an incipient gearbox malfunction at a time horizon of more than one month prior to the actual occurrence of the failure.
000063423 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
000063423 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000063423 592__ $$a0.241$$b2017
000063423 593__ $$aPhysics and Astronomy (miscellaneous)$$c2017$$dQ3
000063423 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063423 700__ $$aStephen, B.
000063423 700__ $$aInfield, D.
000063423 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, J.J.$$uUniversidad de Zaragoza
000063423 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000063423 773__ $$g926 (2017), 012009 [14 pp]$$pJ. Phys.: Conf. Ser.$$tJournal of physics. Conference series$$x1742-6588
000063423 8564_ $$s833645$$uhttps://zaguan.unizar.es/record/63423/files/texto_completo.pdf$$yVersión publicada
000063423 8564_ $$s13718$$uhttps://zaguan.unizar.es/record/63423/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063423 909CO $$ooai:zaguan.unizar.es:63423$$particulos$$pdriver
000063423 951__ $$a2019-07-09-11:58:54
000063423 980__ $$aARTICLE