56779 20200221144221.0 doi 10.1088/1742-6596/753/7/072019 sideral 96224 ART-2016-96224 eng Gonzalez, E. SCADA alarms processing for wind turbine component failure detection 2016 Access copy available to the general public Unrestricted Wind 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. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108-AWESOME info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/AWESOME info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.24 2016 Physics and Astronomy (miscellaneous) 2016 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-3830-9308 Reder, M. (orcid)0000-0003-2360-0845 Melero, J.J. Universidad de Zaragoza 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 753 (2016), 072019 [10 pp.] J. Phys.: Conf. Ser. Journal of physics. Conference series 1742-6588 640651 http://zaguan.unizar.es/record/56779/files/texto_completo.pdf Versión publicada 93970 http://zaguan.unizar.es/record/56779/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:56779 articulos driver 2020-02-21-13:15:17 ARTICLE