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Fault Detection of Smart Grid Equipment Using Machine Learning and Data Analyticsf the electrical equipment connected to the grid using principal component analysis (PCA). PCA is an unsupervised machine learning technique that is proposed in this paper for case study of high-speed wind turbine bearing.

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Wolf W. Laskodata analytics, affect recognition, accessible interfaces, embedded and robotic interfaces, machine learning and new hybrid processing approaches, and similar t978-3-031-01085-9978-3-031-02213-5Series ISSN 1946-7680 Series E-ISSN 1946-7699

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