Multi-output classification based on convolutional neural network model for untrained compound fault diagnosis of rotor systems with non-contact sensors

HIGHLIGHTS

• who: Taehwan Son and collaborators from the Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea School of Mechanical Engineering, Yeungnam University, Gyeongsan, Republic of Korea have published the research: Multi-Output Classification Based on Convolutional Neural Network Model for Untrained Compound Fault Diagnosis of Rotor Systems with Non-Contact Sensors, in the Journal: Sensors 2023, 3153 of /2023/
• what: This study proposes an effective model which can be trained using only single fault data for the of compound faults and confirms the robustness of the model to changes . . .
  

   

  

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