Unsupervised Anomaly Detection Applied to Φ-OTDR

Unsupervised Anomaly Detection Applied to Φ-OTDR

Distributed acoustic sensors (DASs) based on direct-detection Φ-OTDR use the light–matter interaction between light pulses and optical fiber to detect mechanical events in the fiber environment. The signals received in Φ-OTDR come from the coherent interference of the portion of the fiber illuminate...

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Bibliographic Details
Main Authors: Antonio Almudévar, Pascual Sevillano, Luis Vicente, Javier Preciado-Garbayo, Alfonso Ortega
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
distributed acoustic sensors
Φ-OTDR
deep learning
autoencoder
Unsupervised Anomaly Detection
Online Access:https://www.mdpi.com/1424-8220/22/17/6515

Internet

https://www.mdpi.com/1424-8220/22/17/6515

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