Research on vibration data-driven fault diagnosis for iron core looseness of saturable reactor in uhvdc thyristor valve based on cvae-gan and multimodal feature integrated cnn

HIGHLIGHTS

• who: Xiaolong Zhang et al. from the Technology, Beijing Key Laboratory of High Power Electronic, Beijing, China have published the research work: Research on Vibration Data-Driven Fault Diagnosis for Iron Core Looseness of Saturable Reactor in UHVDC Thyristor Valve Based on CVAE-GAN and Multimodal Feature Integrated CNN, in the Journal: Energies 2022, 9508 of /2022/
• what: In this paper, an MFICNN model structure is designed which can fuse and process multiple types of input features. The work of this paper is summarized as follows: 22 of 24 A saturable reactor vibration experiment was . . .
  

   

  

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