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20192026
most citedMachine Learning-based Anomaly Detection in Optical Fiber Monitoring

135 citations · 203 across the 24 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

physics.ins-det2022

Distributed Sensing of Single Mode Fibers with Correlation Techniques

Florian Azendorf, André Sandmann, Michael Eiselt +1

In this paper, we report on the development progress of correlation-based optical time domain reflectometry (OTDR). Substituting the direct detection receiver with a coherent recei…

physics.optics2022★ 4 cited

Optical fiber for remote sensing with high spatial resolution

Michael Eiselt, Florian Azendorf, Andre Sandmann

The use of optical fiber as sensor as well as transmission medium for sensing data is discussed, enabling the use of optically active sensors without power supply at distances of t…

physics.ins-det2022

Hollow-core fiber Characterization with Correlation-Optical Time Domain Reflectometry

Florian Azendorf, Bernhard Schmauss, Bo Shi +3

Using a Correlation-OTDR, we characterized the temperature-induced group delay variations of two nested antiresonant nodeless hollow core fibers. The temperature sensitivity of bot…

physics.gen-ph2022

Temperature dependent latency of jumper cables

Florian Azendorf, Annika Dochhan, Michael Eiselt

The temperature dependence of the latency of an optical signal transmitted over an optical fiber was investigated by means of a correlation OTDR. While the bare fiber showed a line…

cs.NI2022★ 135 cited

Machine Learning-based Anomaly Detection in Optical Fiber Monitoring

Khouloud Abdelli, Joo Yeon Cho, Florian Azendorf +3

Secure and reliable data communication in optical networks is critical for high-speed Internet. However, optical fibers, serving as the data transmission medium providing connectiv…

eess.SP2022★ 10 cited

Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks

Khouloud Abdelli, Florian Azendorf, Helmut Griesser +2

We propose a deep learning approach based on an autoencoder for identifying and localizing fiber faults in passive optical networks. The experimental results show that the proposed…

physics.optics2022★ 24 cited

Accurate Single-Ended Measurement of Propagation Delay in Fiber Using Correlation Optical Time Domain Reflectometry

Florian Azendorf, Annika Dochhan, Michael H. Eiselt

A correlation optical time-domain reflectometry (COTDR) method is presented, which measures the propagation delay with an accuracy of a few picoseconds. This accuracy is achieved u…