Label-free anomaly detection using distributed optical fiber acoustic sensing

HIGHLIGHTS

• who: Yuyuan Xie and collaborators from the Sichuan University National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China have published the research: Label-Free Anomaly Detection Using Distributed Optical Fiber Acoustic Sensing, in the Journal: Sensors 2023, 23, 4094. of /2023/
• what: This study developed a label-free anomaly detection method based on DAS, which, to detect a variety of anomalous events, required only normal-state data for training.
• how: To address these challenges this paper proposes an unsupervised method that only learns normal data features. In this study . . .
  

   

  

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