A fault-diagnosis method for railway turnout systems based on improved autoencoder and data augmentation

HIGHLIGHTS

  • who: Mengyang Li and colleagues from the School of Computer Science and Engineering, Xi`an University of Technology, Xi`an, China have published the paper: A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation, in the Journal: Sensors 2022, 22, 9438. of 20/Oct/2022
  • what: The authors design an improved autoencoder that combines smooth denoising and feature extraction to achieve deep feature extraction of turnout power curves. Based on a real dataset marked by experts, the performance of the model proposed by the authors in accuracy, precision, recall . . .

     

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