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    Multivariate Anomaly Detection and Early Warning Framework for Wind Turbine Condition Monitoring Using SCADA Data 

    Source: Journal of Energy Engineering:;2023:;Volume ( 149 ):;issue: 006:;page 04023040-1
    Author(s): Chenlong Feng; Chao Liu; Dongxiang Jiang; Detong Kong; Wei Zhang
    Publisher: ASCE
    Abstract: Wind speed power characteristics are essential in evaluating the state of the wind turbine. The supervisory control and data acquisition (SCADA) data are massively collected and could be important resources for condition ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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