Data-driven predictive analytics of unexpected wind turbine shut-downs
IET Renewable Power Generation(2018)
摘要
In this study, a novel data-driven framework is proposed to offer predictive analytics of wind turbine (WT) unexpected shut-downs based on data collected by the supervisory control and data acquisition (SCADA) system. A new parameter, the remaining functional life (RFL), is introduced to describe the length of a period until the next WT shut-down and a binary target parameter is created based on t...
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关键词
data acquisition,data analysis,pattern classification,pattern clustering,SCADA systems,unsupervised learning,wind turbines
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