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Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms. <i>Wind Energy Science 8(6)</i>: 893-924. <a href=\"https://dx.doi.org/10.5194/wes-8-893-2023\" target=\"_blank\">https://dx.doi.org/10.5194/wes-8-893-2023</a>","AutID":555778,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":367735,"RR":"<b>Daems, P.-J.; Peeters, C.; Matthys, J.; Verstraeten, T.; Helsen, J.</b> (2023). Fleet-wide analytics on field data targeting condition and lifetime aspects of wind turbine drivetrains. <i>Forschung im Ingenieurwesen-Engineering Research 87(1)</i>: 285-295. <a href=\"https://dx.doi.org/10.1007/s10010-023-00643-0\" target=\"_blank\">https://dx.doi.org/10.1007/s10010-023-00643-0</a>","AutID":445448,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":352737,"RR":"<b>Nejad, A.R.; Keller, J.; Guo, Y.; Sheng, S.; Polinder, H.; Watson, S.; Dong, J.; Qin, Z.; Ebrahimi, A.; Schelenz, R.; Gutiérrez Guzmán, F.; Cornel, D.; Golafshan, R.; Jacobs, G.; Blockmans, B.; Carroll, J.; Koukoura, S.; Hart, E.; McDonald, A.; Natarajan, A.; Torsvik, J.; Moghadam, F.K.; Daems, P.-J.; Verstraeten, T.; Peeters, C.; Helsen, J.</b> (2022). Wind turbine drivetrains: state-of-the-art technologies and future development trends. <i>Wind Energy Science 7(1)</i>: 387-411. <a href=\"https://dx.doi.org/10.5194/wes-7-387-2022\" target=\"_blank\">https://dx.doi.org/10.5194/wes-7-387-2022</a>","AutID":490363,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":361577,"RR":"<b>Vemuri, A.; Buckingham, S.; Munters, W.; Helsen, J.; van Beeck, J.</b> (2022). Sensitivity analysis of mesoscale simulations to physics parameterizations over the Belgian North Sea using Weather Research and Forecasting - Advanced Research WRF (WRF-ARW). <i>Wind Energy Science 7(5)</i>: 1869-1888. <a href=\"https://dx.doi.org/10.5194/wes-7-1869-2022\" target=\"_blank\">https://dx.doi.org/10.5194/wes-7-1869-2022</a>","AutID":329707,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337270,"RR":"<b>Daems, P.-J.; Verstraeten, T.; Peeters, C.; Helsen, J.</b> (2021). Effects of wake on gearbox design load cases identified from fleet-wide operational data. <i>Forschung im Ingenieurwesen-Engineering Research 85</i>: 553-558. <a href=\"https://hdl.handle.net/10.1007/s10010-021-00444-3\" target=\"_blank\">https://hdl.handle.net/10.1007/s10010-021-00444-3</a>","AutID":445448,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":353636,"RR":"<b>Helsen, J.</b> (2021). Review of research on condition monitoring for improved O&M of offshore wind turbine drivetrains. <i>Acoustics Australia 49(2)</i>: 251-258. <a href=\"https://dx.doi.org/10.1007/s40857-021-00237-2\" target=\"_blank\">https://dx.doi.org/10.1007/s40857-021-00237-2</a>","AutID":495777,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":391586,"RR":"<b>Verstraeten, T.; Nowe, A.; Keller, J.; Guo, Y.; Sheng, S.W.; Helsen, J.</b> (2019). Fleetwide data-enabled reliability improvement of wind turbines. <i>Renew. Sust. Energ. Rev. 109</i>: 428-437. <a href=\"https://dx.doi.org/10.1016/j.rser.2019.03.019\" target=\"_blank\">https://dx.doi.org/10.1016/j.rser.2019.03.019</a>","AutID":564023,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":295690,"RR":"<b>El-Kafafy, M.; Devriendt, C.; Guillaume, P.; Helsen, J.</b> (2017). Automatic tracking of the modal parameters of an offshore wind turbine drivetrain system. <i>Energies (Basel) 10(4)</i>: 574. <a href=\"https://dx.doi.org/10.3390/en10040574\" target=\"_blank\">https://dx.doi.org/10.3390/en10040574</a>","AutID":329707,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":1}],"PeerRevRef":[{"BRefID":382970,"RR":"<b>Robbelein, K.; Daems, P.-J.; Verstraeten, T.; Noppe, N.; Weijtjens, W.; Helsen, J.; Devriendt, C.</b> (2023). Effect of curtailment scenarios on the loads and lifetime of offshore wind turbine generator support structures. <i>Journal of Physics: Conference Series 2507</i>: 012013. <a href=\"https://dx.doi.org/10.1088/1742-6596/2507/1/012013\" target=\"_blank\">https://dx.doi.org/10.1088/1742-6596/2507/1/012013</a>","AutID":556307,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"2_PeerRevRef","OpenAcc":1},{"BRefID":354367,"RR":"<b>Koukoura, S.; Peeters, C.; Helsen, J.; Carroll, J.</b> (2020). Investigating parallel multi-step vibration processing pipelines for planetary stage fault detection in wind turbine drivetrains. <i>Journal of Physics: Conference Series 1618(2)</i>: 022054. <a href=\"https://dx.doi.org/10.1088/1742-6596/1618/2/022054\" target=\"_blank\">https://dx.doi.org/10.1088/1742-6596/1618/2/022054</a>","AutID":498518,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"2_PeerRevRef","OpenAcc":1},{"BRefID":295727,"RR":"<b>Helsen, J.; Gioia, N.; Peeters, C.; Jordaens, P.J.</b> (2017). Integrated condition monitoring of a fleet of offshore wind turbines with focus on acceleration streaming processing. <i>Journal of Physics: Conference Series 842</i>: 012052. <a href=\"https://dx.doi.org/10.1088/1742-6596/842/1/012052\" target=\"_blank\">https://dx.doi.org/10.1088/1742-6596/842/1/012052</a>","AutID":332759,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"2_PeerRevRef","OpenAcc":1}],"BookChap":[{"BRefID":354380,"RR":"<b>Peeters, C.; Antoni, J.; Leclère, Q.; Helsen, J.</b> (2021). 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(Ed.) <i>Rotating machinery, vibro-acoustics & laser vibrometry, volume 7.</i> pp. 91-99. <a href=\"https://hdl.handle.net/10.1007/978-3-319-74693-7_9\" target=\"_blank\">https://hdl.handle.net/10.1007/978-3-319-74693-7_9</a>","AutID":332611,"MonDate":null,"AnaDate":2019,"PeerRev":0,"outputType":"4_BookChap","OpenAcc":0},{"BRefID":323248,"RR":"<b>Gioia, N.; Daems, P.J.; Peeters, C.; Guillaume, P.; Helsen, J.; Medico, R.; Deschrijver, D.</b> (2019). Gaining insight in wind turbine drivetrain dynamics by means of automatic operational modal analysis combined with machine learning algorithms, <b><i>in</i></b>: <i>ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering - Volume 10: Ocean Renewable Energy.</i> pp. 7","AutID":332759,"MonDate":null,"AnaDate":2019,"PeerRev":0,"outputType":"4_BookChap","OpenAcc":0},{"BRefID":338112,"RR":"<b>Gioia, N.; Daems, P.J.; Peeters, C.; El-Kafafy, M.; Guillaume, P.; Helsen, J.</b> (2019). Influence of the harmonics on the modal behavior of wind turbine drivetrains, <b><i>in</i></b>: Di Maio, D. (Ed.) <i>Rotating machinery, vibro-acoustics & laser vibrometry, volume 7.</i> pp. 231-238. <a href=\"https://hdl.handle.net/10.1007/978-3-319-74693-7_22\" target=\"_blank\">https://hdl.handle.net/10.1007/978-3-319-74693-7_22</a>","AutID":455016,"MonDate":null,"AnaDate":2019,"PeerRev":0,"outputType":"4_BookChap","OpenAcc":0},{"BRefID":338040,"RR":"<b>Peeters, C.; Verstraeten, T.; Nowé, A.; Daems, P.-J.; Helsen, J.</b> (2019). Advanced vibration signal procesing using edge computing to monitor wind turbine drivetrains, <b><i>in</i></b>: <i>ASME 2019 2nd International Offshore Wind Technical Conference.</i> pp. 6","AutID":332759,"MonDate":null,"AnaDate":2019,"PeerRev":0,"outputType":"4_BookChap","OpenAcc":0},{"BRefID":323304,"RR":"<b>Gioia, N.; Peeters, C.; Daems, P.J.; Guillaume, P.; Helsen, J.</b> (2018). Dealing with harmonics in continuous modal analysis, <b><i>in</i></b>: Desmet, W. <i>et al.</i> <i>Proceedings of ISMA2018 - International Conference on Noise and Vibration Engineering &\r\nUSD2018 - International Conference on Uncertainty in Structural Dynamics.</i> pp. 2819-2828","AutID":412174,"MonDate":null,"AnaDate":2018,"PeerRev":0,"outputType":"4_BookChap","OpenAcc":1},{"BRefID":295710,"RR":"<b>El-Kafafy, M.; Colanero, L.; Gioia, N.; Devriendt, C.; Guillaume, P.; Helsen, J.</b> (2017). Modal parameters estimation of an offshore wind turbine using measured acceleration signals from the Drive Train, <b><i>in</i></b>: Niezrecki, C. 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