A new hybrid fault diagnosis method for wind energy converters

HIGHLIGHTS

• who: Jinping Liang and Ke Zhang from the School of Astronautics, Northwestern Polytechnical University, Xi`an, China have published the article: A New Hybrid Fault Diagnosis Method for Wind Energy Converters, in the Journal: Electronics 2023, 12, x FOR PEER REVIEW between of /2023/
• what: In this paper a new hybrid fault diagnosis method based on multivariate empirical mode decomposition (MEMD) fuzzy entropy (FE) and an artificial fish swarm algorithm (AFSA)-support vector machine (SVM) is proposed to identify the faults of a wind energy converter.
• how: To improve noise robustness a fault . . .
  

   

  

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