000074860 001__ 74860
000074860 005__ 20200117211559.0
000074860 0247_ $$2doi$$a10.1088/1742-6596/1037/3/032038
000074860 0248_ $$2sideral$$a107160
000074860 037__ $$aART-2018-107160
000074860 041__ $$aeng
000074860 100__ $$0(orcid)0000-0002-3698-6284$$aGonzalez, E.
000074860 245__ $$aStatistical Evaluation of SCADA data for Wind Turbine Condition Monitoring and Farm Assessment
000074860 260__ $$c2018
000074860 5060_ $$aAccess copy available to the general public$$fUnrestricted
000074860 5203_ $$aOperational data from wind farms is crucial for wind turbine condition monitoring and performance assessment. In this paper, we analyse three wind farms with the aim to monitor environmental and operational conditions that might result in underperformance or failures. The assessment includes a simple wind speed characterisation and wake analysis. The evolution of statistical parameters is used to identify anomalous turbine behaviour. In total, 88 turbines and 12 failures are analysed, covering different component failures. Notwithstanding the short period of data available, several operational parameters are found to deviate from the farm trend in some turbines affected by failures. As a result, some parameters show better monitoring capabilities than others, for the detection of certain failures. However, the limitations of SCADA statistics are also shown as not all failures showed anomalies in the observed parameters.
000074860 536__ $$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108-AWESOME$$9info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/AWESOME
000074860 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000074860 592__ $$a0.221$$b2018
000074860 593__ $$aPhysics and Astronomy (miscellaneous)$$c2018$$dQ3
000074860 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000074860 700__ $$aTautz-Weinert, J.
000074860 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, J.J.$$uUniversidad de Zaragoza
000074860 700__ $$aWatson, S.J.
000074860 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000074860 773__ $$g1037 (2018), 032038 [11 pp]$$pJ. Phys.: Conf. Ser.$$tJournal of physics. Conference series$$x1742-6588
000074860 8564_ $$s3713901$$uhttps://zaguan.unizar.es/record/74860/files/texto_completo.pdf$$yVersión publicada
000074860 8564_ $$s13748$$uhttps://zaguan.unizar.es/record/74860/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000074860 909CO $$ooai:zaguan.unizar.es:74860$$particulos$$pdriver
000074860 951__ $$a2020-01-17-21:10:57
000074860 980__ $$aARTICLE