2017 · 65 citations · 7 references
ComputingComputer SciencePhysicsMachine LearningMechanical Behavior Of MaterialsStatistical LearningCondition MonitoringFault DetectionFiber OpticsFiber-optic CommunicationOptical FibersPattern RecognitionDamage DetectionDamage IdentificationEvent ClassificationMechanical Reliability Of FibersMechanical Stress ModelingOptical Fiber SensorsOptical Fiber Strain SensingReal-time Optical Monitoring
We develop an algorithm extension for a coherent receiver, coupled with machine learning to monitor mechanical stress to an optical fiber, for recognizing fiber breaks before they occur. We demonstrate event classification with 95% accuracy over a real-time PDM-QPSK testbed.
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