Unsupervised anomaly detection applied to φ-otdr

HIGHLIGHTS

  • who: Antonio Almudu00e9var and colleagues from the ViVoLab, Aragu00f3n Institute for Engineering Research (I A), University of Zaragoza, Zaragoza, Spain have published the article: Unsupervised Anomaly Detection Applied to u03a6-OTDR, in the Journal: Sensors 2022, 22, 6515. of /2022/
  • what: Throughout this work, the authors analyze the SNR-enhanced techniques already reported in the literature and evaluate the UAD algorithm for event detection in real scenarios. The aims to classify the different types of situations that the DAS can capture. The main advantage of this approach compared to other techniques is that no human . . .

     

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