Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 4
Articles | Volume 5, issue 4
https://doi.org/10.5194/wes-5-1375-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-5-1375-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5, issue 4
Research article
 | 
27 Oct 2020
Research article |  | 27 Oct 2020

Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models

Simon Letzgus

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Short summary
One of the major challenges when working with wind turbine sensor data in practice is the presence of systematic changes in signal behaviour induced by malfunctions or maintenance actions. We found that approximately every third signal is affected by such change points and introduce an algorithm which reliably detects them in a highly automated fashion. The algorithm enables the application of data-driven techniques to monitor wind turbine components using data from commonly installed sensors.
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