Wind Turbine Condition Monitoring Using Failure Analysis

Author:

Çağlar Betül Sena,Ketmen Hasan Burak,Bulut Barış

Publisher

Springer International Publishing

Reference8 articles.

1. Beretta M, Cárdenas JJ, Koch C, Cusidó J (2020) Wind Fleet Generator Fault Detection via SCADA Alarms and Autoencoders. Applied Sciences 10:. https://doi.org/10.3390/app10238649

2. Department of Energy (2014) How a Wind Turbine Works | Department of Energy. https://www.energy.gov/articles/how-wind-turbine-works . Accessed 31 Mar 2022

3. Dey S, Pisu P, Ayalew B (2015) A Comparative Study of Three Fault Diagnosis Schemes for Wind Turbines. IEEE Transactions on Control Systems Technology 23:1853–1868. https://doi.org/10.1109/TCST.2015.2389713

4. Larzalere B (2019) LSTM Autoencoder for Anomaly Detection | by Brent Larzalere | Towards Data Science. In: Towards Data Science. https://towardsdatascience.com/lstm-autoencoder-for-anomaly-detection-e1f4f2ee7ccf .

5. Microsoft (2020) InterpretML. https://interpret.ml/. Accessed 31 Mar 2022

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