Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models

HIGHLIGHTS

• who: Nemesio Fava Sopelsa Neto et al. from the Department of Electrical Engineering, Regional University of Blumenau, Rua Su00e3o Paulo, Blumenau, Brazil have published the paper: Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models, in the Journal: Sensors 2022, 22, 6121. of 18/04/2022
• what: In this paper for a complete evaluation the long short-term memory (LSTM) group method of data handling (GMDH) adaptive neuro-fuzzy inference system (ANFIS) bootstrap aggregation (bagging) sequential learning (boosting) random subspace and stacked generalization (stacking) ensemble learning models are analyzed . . .
  

   

  

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