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Investigators at Lancaster University Report Findings in Algorithms (Wind Turbine Fault Detection and Identification Through PCA-Based Optimal Variable Selection)

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According to the news reporters, the research concluded: "Results show that the proposed methods can select a reduced set of variables with minimal information last whilst detecting faults efficiently and effectively."
For more information on this research see: Wind Turbine Fault Detection and Identification Through PCA-Based Optimal Variable Selection. IEEE Transactions on Sustainable Energy, 2018;9(4):1627-1635. IEEE Transactions on Sustainable Energy can be contacted at:
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The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TSTE.2018.2801625. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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