000096161 001__ 96161
000096161 005__ 20210902121853.0
000096161 0247_ $$2doi$$a10.1088/1742-6596/1618/2/022037
000096161 0248_ $$2sideral$$a120724
000096161 037__ $$aART-2020-120724
000096161 041__ $$aeng
000096161 100__ $$aLázaro, R.
000096161 245__ $$aDetermining Remaining Lifetime of Wind Turbine Gearbox Using a Health Status Indicator Signal
000096161 260__ $$c2020
000096161 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096161 5203_ $$aWind turbine component's failure prognosis allows wind farm owners to apply predictive maintenance techniques to their fleets. This permits optimal scheduling of the maintenance actions considering the best time to stop the turbines and perform those actions. Determining the health status of a turbine's component typically requires verifying a wide number of variables that should be monitored simultaneously. The scope of this study is the investigation and the selection of an effective combination of variables and smoothing and forecasting methodologies for obtaining a wind turbine gearbox health status indicator, in order to interpret clearly the remaining lifetime of the gearbox. The proposed methodology is based on Gaussian Mixture Copula Model (GMCM) models combined with the smoothing treatment and the forecasting model to define the health index of the wind turbine gearbox. Then, the resulting index is tested using various warning and critical thresholds. These thresholds should be chosen adequately in order to indicate appropriate inspection visit and preventive maintenance intervention date. Then, the best combination found, for the studied cases, was 50% and 70% for warning and critical respectively. This combination ensures that the developed procedure is capable of providing long enough time window for maintenance decision making.
000096161 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000096161 592__ $$a0.21$$b2020
000096161 593__ $$aPhysics and Astronomy (miscellaneous)$$c2020$$dQ4
000096161 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000096161 700__ $$0(orcid)0000-0002-1206-9756$$aYildirim Yürüen, N.
000096161 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, J.J.$$uUniversidad de Zaragoza
000096161 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000096161 773__ $$g1618, 2 (2020), 022037 [11 pp]$$pJ. Phys.: Conf. Ser.$$tJournal of Physics: Conference Series$$x1742-6588
000096161 8564_ $$s535846$$uhttps://zaguan.unizar.es/record/96161/files/texto_completo.pdf$$yVersión publicada
000096161 8564_ $$s75893$$uhttps://zaguan.unizar.es/record/96161/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000096161 909CO $$ooai:zaguan.unizar.es:96161$$particulos$$pdriver
000096161 951__ $$a2021-09-02-10:31:08
000096161 980__ $$aARTICLE