We develop and test several machine-learning methods to perform detection and identification of equipment failures in optical networks. Results, obtained over real BER traces, show above 98% accuracy in most cases with reasonable algorithm complexity.

Machine-learning-based soft-failure detection and identification in optical networks

SHAHKARAMI, SHAHIN;Musumeci, Francesco;Tornatore, Massimo
2018

Abstract

We develop and test several machine-learning methods to perform detection and identification of equipment failures in optical networks. Results, obtained over real BER traces, show above 98% accuracy in most cases with reasonable algorithm complexity.
Optical Fiber Communication Conference, OFC 2018
9781557528209
Electronic, Optical and Magnetic Materials; Mechanics of Materials
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1056920
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