You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
.. [1] Kim, K., Parthasarathy, G., Uluyol, O., Foslien, W., Sheng, S. & Fleming, P. (2012). `Use of SCADA Data for Failure Detection in Wind Turbines <https://doi.org/10.1115/ES2011-54243>`__. 2071-2079.
1094
+
1095
+
.. [2] Leahy, K., Hu, R. L., Konstantakopoulos, I. C., Spanos, C. J. & Agogino, A. M. (2016). `Diagnosing wind turbine faults using machine learning techniques applied to operational data <https://doi.org/10.1109/ICPHM.2016.7542860>`__. 2016 IEEE International Conference on Prognostics and Health Management (ICPHM), 1-8.
1096
+
1097
+
.. [3] Dienst, S. & Beseler, J. (2016). `Automatic Anomaly Detection in Offshore Wind SCADA Data <https://windeurope.org/summit2016/conference/submit-an-abstract/pdf/626738292593.pdf>`__.
1098
+
1099
+
.. [4] Tautz-Weinert, J. & Watson, S. J. (2017). `Using SCADA data for wind turbine condition monitoring - a review <https://doi.org/10.1049/iet-rpg.2016.0248>`__. IET Renewable Power Generation, 11(4), 382-394.
.. [6] García Márquez, F. P., Tobias, A. M., Pinar Pérez, J. M. & Papaelias, M. (2012). `Condition monitoring of wind turbines: Techniques and methods <https://doi.org/10.1016/j.renene.2012.03.003>`__. Renewable Energy, 46, 169-178.
1104
+
1105
+
.. [7] Godwin, J. L. & Matthews, P. (2013). Classification and Detection of Wind Turbine Pitch Faults Through SCADA Data Analysis. International Journal of Prognostics and Health Management, 4.
1106
+
1107
+
.. [8] Yang, W., Tavner, P. J., Crabtree, C. J., Feng, Y. & Qiu, Y. (2014). `Wind turbine condition monitoring: Technical and commercial challenges <https://doi.org/10.1002/we.1508>`__. Wind Energy, 17(5), 673-693.
1108
+
1109
+
.. [9] Gill, S., Stephen, B. & Galloway, S. (2012). `Wind turbine condition assessment through power curve copula modeling <https://doi.org/10.1109/TSTE.2011.2167164>`__. IEEE Transactions on Sustainable Energy, 3, 94-101.
1110
+
1111
+
.. [10] Kusiak, A. & Li, W. (2011). `The prediction and diagnosis of wind turbine faults <https://doi.org/10.1016/j.renene.2010.05.014>`__. Renewable Energy, 36(1), 16-23.
1112
+
1113
+
.. [11] `Welcome to Python.org <https://www.python.org/>`__. (n.d.).
1114
+
1115
+
.. [12] Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M. & Perrot, M. (2011). `Scikit-learn: Machine Learning in Python <https://jmlr.org/papers/volume12/pedregosa11a/pedregosa11a.pdf>`__. Journal of Machine Learning Research, 12, 2825-2830.
.. [16] Sutton, O. (2012). `Introduction to k Nearest Neighbour Classification and Condensed Nearest Neighbour Data Reduction <http://www.math.le.ac.uk/people/ag153/homepage/KNN/OliverKNN_Talk.pdf>`__.
.. [24] `Normalize Data - ML Studio (classic) - Azure <https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/normalize-data>`__. (2017, June 2).
.. [26] `3.3. Model evaluation: Quantifying the quality of predictions-Scikit-learn 0.19.2 documentation <https://scikit-learn.org/0.19/modules/model_evaluation.html>`__. (n.d.).
1144
+
1145
+
.. [27] de Ruiter, A. (2015, February 9). Performance measures in Azure ML: Accuracy, Precision, Recall and F1 Score.
1146
+
1147
+
.. [28] `Performance Measures for Machine Learning <https://www.cs.cornell.edu/courses/cs578/2003fa/performance_measures.pdf>`__. (n.d.).
1148
+
1149
+
.. [29] SAS Help Center: Precision, Recall, and the F1 Score.
.. [32] Maitra, R. (n.d.). Distribution-free Predictive Approaches.
1156
+
1157
+
.. [33] Reactive power - npower Business. (n.d.).
1158
+
1159
+
.. [34] Overbye, T. & Baldick, R. (n.d.). `EE369 POWER SYSTEM ANALYSIS - Lecture 18: Fault Analysis <https://users.ece.utexas.edu/~baldick/classes/369/Lecture_18.ppt>`__.
1160
+
1161
+
.. [35] `Statistics Show Bearing Problems Cause the Majority of Wind Turbine Gearbox Failures <https://www.energy.gov/eere/wind/articles/statistics-show-bearing-problems-cause-majority-wind-turbine-gearbox-failures>`__. (2015, September 17). Energy.gov.
1162
+
1163
+
.. [36] Sheng, S., McDade, M. & Errichello, R. (2011, October). `Wind Turbine Gearbox Failure Modes - A Brief <https://www.nrel.gov/docs/fy12osti/53084.pdf>`__. ASME/STLE 2011 International Joint Tribology Conference, Los Angeles, CA, USA.
0 commit comments