000166038 001__ 166038
000166038 005__ 20260119170325.0
000166038 0247_ $$2doi$$a10.6036/9685
000166038 0248_ $$2sideral$$a125085
000166038 037__ $$aART-2021-125085
000166038 041__ $$aeng
000166038 100__ $$0(orcid)0000-0002-9702-9314$$aMiralbés Buil, Ramón$$uUniversidad de Zaragoza
000166038 245__ $$aComparison of three predictive analysis methods for wind turbine gear boxes. A case study of satellite bearing wear and gear teeth surface damages
000166038 260__ $$c2021
000166038 5060_ $$aAccess copy available to the general public$$fUnrestricted
000166038 5203_ $$aThe aim of this paper is to review and compare diverse predictive analysis methods used for the inspection of the internal conditions of wind generator gear box bearings on wind turbines in order to determine the accuracy, deficiencies, and validity of these methods.
Thus, three different types of predictive analysis will be compared: visual analysis using boroscopy (that is an industrial type of endoscopy), oil analysis, and bearing condition unit vibrations analysis.
These analyses were carried out on a ten-year-old wind farm that has forty-eight 800 kW wind turbines; the results will allow other similar wind farms to determine the most appropriate predictive strategies.
In the studied gear boxes, damage is restricted to the bearings of the satellites. Therefore, the study has focused on this part of the gear box.
The study demonstrates that bearing condition unit vibration analysis can predict severe damage in all cases, so it is possible to predict bearing failure within 6 months; as a result, it is possible to establish the optimal moment to substitute bearings to avoid catastrophic failure in gear boxes. In addition, given that a boroscopy can detect all types of damage in the bearings of the satellite and thus can predict failure ahead of 6 months as well as detect low and moderate damage, it becomes the method of preference.
000166038 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000166038 590__ $$a2.07$$b2021
000166038 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b51 / 92 = 0.554$$c2021$$dQ3$$eT2
000166038 592__ $$a0.16$$b2021
000166038 593__ $$aEngineering (miscellaneous)$$c2021$$dQ4
000166038 594__ $$a1.3$$b2021
000166038 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000166038 700__ $$0(orcid)0000-0001-8451-660X$$aRanz Angulo, David$$uUniversidad de Zaragoza
000166038 7102_ $$15002$$2305$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Expresión Gráfica en Ing.
000166038 773__ $$g96, 3 (2021), 254-259$$pDyna (Bilbao)$$tDyna (Bilbao)$$x0012-7361
000166038 8564_ $$s521913$$uhttps://zaguan.unizar.es/record/166038/files/texto_completo.pdf$$yPostprint
000166038 8564_ $$s2888622$$uhttps://zaguan.unizar.es/record/166038/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000166038 909CO $$ooai:zaguan.unizar.es:166038$$particulos$$pdriver
000166038 951__ $$a2026-01-19-14:38:41
000166038 980__ $$aARTICLE