000056779 001__ 56779
000056779 005__ 20161006102711.0
000056779 0247_ $$2doi$$a10.1088/1742-6596/753/7/072019
000056779 0248_ $$2sideral$$a96224
000056779 037__ $$aART-2016-96224
000056779 041__ $$aeng
000056779 100__ $$aGonzalez, E.
000056779 245__ $$aSCADA alarms processing for wind turbine component failure detection
000056779 260__ $$c2016
000056779 5060_ $$aAccess copy available to the general public$$fUnrestricted
000056779 5203_ $$aWind turbine failure and downtime can often compromise the profitability of a wind farm due to their high impact on the operation and maintenance (O&M) costs. Early detection of failures can facilitate the changeover from corrective maintenance towards a pre- dictive approach. This paper presents a cost-effective methodology to combine various alarm analysis techniques, using data from the Supervisory Control and Data Acquisition (SCADA) system, in order to detect component failures. The approach categorises the alarms according to a reviewed taxonomy, turning overwhelming data into valuable information to assess component status. Then, different alarms analysis techniques are applied for two purposes: the evaluation of the SCADA alarm system capability to detect failures, and the investigation of the relation between components faults being followed by failure occurrences in others. Various case studies are presented and discussed. The study highlights the relationship between faulty behaviour in different components and between failures and adverse environmental conditions.
000056779 536__ $$9info:eu-repo/grantAgreement/EUR/H2020/642108$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108
000056779 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000056779 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000056779 700__ $$aReder  , Maik Dennis
000056779 700__ $$0(orcid)0000-0003-2360-0845$$aMelero Estela, Julio Javier$$uUniversidad de Zaragoza
000056779 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDepartamento de Ingeniería Eléctrica$$cIngeniería Eléctrica
000056779 773__ $$g753 (2016), 072019 [10 pp.]$$pJ. Phys.: Conf. Ser.$$tJournal of physics. Conference series$$x1742-6588
000056779 8564_ $$s640651$$uhttp://zaguan.unizar.es/record/56779/files/texto_completo.pdf$$yVersión publicada
000056779 8564_ $$s93970$$uhttp://zaguan.unizar.es/record/56779/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000056779 909CO $$ooai:zaguan.unizar.es:56779$$particulos$$pdriver
000056779 951__ $$a2016-10-05-08:35:08
000056779 980__ $$aARTICLE