ML approaches for OTDR diagnoses in passive optical networks—event detection and classification: ways for ODN branch assignment

An ML-supported diagnostics concept is introduced and demonstrated to detect and classify events on OTDR traces for application on a PON optical distribution network. We can also associate events with ODN branches by using deployment data of the PON. We analyze an ensemble classifier and neural netw...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of optical communications and networking 2024-07, Vol.16 (7), p.C43-C50
Hauptverfasser:	Straub, Michael, Reber, Johannes, Saier, Tarek, Borkowski, Robert, Li, Shi, Khomchenko, Dmitry, Richter, Andre, Farber, Michael, Kafer, Tobias, Bonk, Rene
Format:	Artikel
Sprache:	eng
Schlagworte:	Attenuation Classifiers Neural networks Optical attenuators Optical communication Optical network units Optical variables measurement Passive optical networks Recall Topology Training data
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!