64309 20190426094905.0 doi 10.1016/j.egypro.2017.10.386 sideral 103289 ART-2017-103289 eng Colone, L. Optimisation of data acquisition in wind turbines with data-driven conversion functions for sensor measurements 2017 Access copy available to the general public Unrestricted Operation and Maintenance (O&M) is an important cost driver of modern wind turbines. Condition monitoring (CM) allows the implementation of predictive O&M strategies helping to reduce costs. In this work a novel approach for wind turbine condition monitoring is proposed focusing on synergistic effects of coexisting sensing technologies. The main objective is to understand the predictability of signals using information from other measurements recorded at different locations of the turbine. The approach is based on a multi-step procedure to pre-process data, train a set of conversion functions and evaluate their performance. A subsequent sensitivity analysis measuring the impact of the input variables on the predicted response reveals hidden relationships between signals. The concept feasibility is tested in a case study using Supervisory Control And Data Acquisition (SCADA) data from an offshore turbine. 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-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-3830-9308 Reder, M. Tautz-Weinert, J. (orcid)0000-0003-2360-0845 Melero, J.J. Universidad de Zaragoza Natarajan, A. Watson, S.J. 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 137 (2017), 571-578 Energ. procedia Energy procedia 1876-6102 548360 http://zaguan.unizar.es/record/64309/files/texto_completo.pdf Versión publicada 76934 http://zaguan.unizar.es/record/64309/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:64309 articulos driver 2019-04-26-09:27:31 ARTICLE