Domain-adaptive prototype-recalibrated network with transductive learning paradigm for intelligent fault diagnosis under various limited data conditions

HIGHLIGHTS

• who: Jiachen Kuang and collaborators from the School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China have published the article: Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions, in the Journal: Sensors 2022, 22, 6535. of /2022/
• what: NoDA: This model is designed to examine whether the domain discriminator can improve the generalization ability from the source task to the target task.
• how: In the field of fault diagnosis the original data are collected and classified by faulty types and operating . . .
  

   

  

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