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This paper proposes a Gaussian Process (a non-parametric machine learning approach) based algorithm for condition monitoring. The standard IEC binned power curve together with individual bin probability distributions can be used to identify operational anomalies. The IEC approach can also be modified to create a form of real-time power curve. Both of these approaches will be compared with a Gaussian Process model to assess both speed and accuracy of anomaly detection. Significant yaw misalignment, reflecting a yaw control error or fault, results in a loss of power. Such a fault is quite common and early detection is important to prevent loss of power generation. Yaw control error provides a useful case study to demonstrate the effectiveness of the proposed algorithms and allows the advantages and limitations of the proposed methods to be determined.
- wind energy
- wind turbine
- condition monitoring and fault diagnosis system
- Gaussian Process models
- SCADA analysis
Comparative analysis of binning and Gaussian Process based blade pitch angle curve of a wind turbine for the purpose of condition monitoringPandit, R. K. & Infield, D., 10 Oct 2018, In : Journal of Physics: Conference Series. 1102, 1, 10 p., 012037 .
Research output: Contribution to journal › ArticleOpen AccessFile5 Citations (Scopus)15 Downloads (Pure)
Comparative analysis of binning and support vector regression for wind turbine rotor speed based power curve use in condition monitoringPandit, R. & Infield, D., 13 Dec 2018, 2018 53rd International Universities Power Engineering Conference (UPEC). Piscataway, NJ: IEEE, 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution bookOpen AccessFile5 Citations (Scopus)16 Downloads (Pure)
Comparative assessments of binned and support vector regression-based blade pitch curve of a wind turbine for the purpose of condition monitoringPandit, R. K. & Infield, D., 12 Oct 2018, In : International Journal of Energy and Environmental Engineering. p. 1-8 8 p.
Research output: Contribution to journal › ArticleOpen AccessFile11 Citations (Scopus)11 Downloads (Pure)