Early fault detection of wind_turbines based on operational condition clustering and optimized deep belief network modeling

HIGHLIGHTS

  • who: Hong Wang and collaborators from the School of Electrical Engineering, Yanshan University, No438, Hebei Qinhuangdao, China have published the article: Early Fault Detection of Wind_Turbines Based on Operational Condition Clustering and Optimized Deep Belief Network Modeling, in the Journal: Energies 2019,Figure 12, 98413. Forecasting results for Turbine Turbine 13: 13: (a) K-means K-means based based ODBNs ODBNs and and (b) (b) ODBNs. ODBNs. of 23/09/2014
  • what: The research showed that the method could identify anomalies about 1.5 h ahead of the eventual failure. Residuals between the predicted values . . .

     

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