Fault diagnosis of power transformer based on time-shift multiscale bubble entropy and stochastic configuration network

HIGHLIGHTS

• who: Fei Chen and collaborators from the Department of Power and Electrical Engineering, AandF University, Xianyang, China have published the article: Fault Diagnosis of Power Transformer Based on Time-Shift Multiscale Bubble Entropy and Stochastic Configuration Network, in the Journal: Entropy 2022, 1135 of 16/08/2022
• what: This study provides new method for power transformer fault diagnosis which has good reference value. and Configuration Network. In this paper, multiscale tiscale entropy and bubble entropy are combined, and TSMBE is proposed based on entropy and bubble entropy are combined, and TSMBE is proposed based on . . .
  

   

  

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