Rolling bearing fault diagnosis based on svm optimized with

HIGHLIGHTS

• who: Adaptive Quantum DE Algorithm et al. from the Shanghai University of Engineering Science, Songjiang, Shanghai, China have published the research work: Rolling Bearing Fault Diagnosis Based on SVM Optimized with, in the Journal: Shock and Vibration 5 of 17/05/2022
• what: This study proposes an rotation gate and uses this gate to update the probability amplitude of the qubits. Compared with genetic support vector machines (QGA-SVM) and differential evolution-support vector machines (DESVM) etc. the results show that the proposed in this study has a higher diagnosis accuracy and shorter running time . . .
  

   

  

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