A novelty detection approach for tendons of prestressed concrete bridges based on a convolutional autoencoder and acceleration data

HIGHLIGHTS

• who: Kanghyeok Lee and colleagues from the School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology have published the article: A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data, in the Journal: Sensors 2019, 1633 of /2019/
• what: This study proposes a novelty detection approach for damage to the tendons of bridges based on a (CAE). An alternative to set appropriate However, theuse threshold would remain an issueThe while applying the CAEs in practice thresholds is to the CAE setting losses from . . .
  

   

  

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