A deep learning approach to detect failures in bridges based on the coherence of signals

HIGHLIGHTS

  • who: Francesco Morgan Bono et al. from the Mechanical Department, Politecnico di Milano, Via GLa Masa, , Milan, Italy have published the research work: A Deep Learning Approach to Detect Failures in Bridges Based on the Coherence of Signals, in the Journal: Future Internet 2023, 15, 119. of /2023/
  • what: This research proposes a novel algorithm that transforms the intrinsically unsupervised problem into a supervised one for condition monitoring purposes. This approach is applied to a real test case i.e. Candia Bridge in Italy and it is compared with a state-of-the-art anomaly . . .

     

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