000064309 001__ 64309
000064309 005__ 20190426094905.0
000064309 0247_ $$2doi$$a10.1016/j.egypro.2017.10.386
000064309 0248_ $$2sideral$$a103289
000064309 037__ $$aART-2017-103289
000064309 041__ $$aeng
000064309 100__ $$aColone, L.
000064309 245__ $$aOptimisation of data acquisition in wind turbines with data-driven conversion functions for sensor measurements
000064309 260__ $$c2017
000064309 5060_ $$aAccess copy available to the general public$$fUnrestricted
000064309 5203_ $$aOperation 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.
000064309 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
000064309 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000064309 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000064309 700__ $$0(orcid)0000-0002-3830-9308$$aReder, M.
000064309 700__ $$aTautz-Weinert, J.
000064309 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, J.J.$$uUniversidad de Zaragoza
000064309 700__ $$aNatarajan, A.
000064309 700__ $$aWatson, S.J.
000064309 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000064309 773__ $$g137 (2017), 571-578$$pEnerg. procedia$$tEnergy procedia$$x1876-6102
000064309 8564_ $$s548360$$uhttps://zaguan.unizar.es/record/64309/files/texto_completo.pdf$$yVersión publicada
000064309 8564_ $$s76934$$uhttps://zaguan.unizar.es/record/64309/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000064309 909CO $$ooai:zaguan.unizar.es:64309$$particulos$$pdriver
000064309 951__ $$a2019-04-26-09:27:31
000064309 980__ $$aARTICLE