Demonstration of Autonomous Fault Diagnosis by Real-time Monitoring of Digital Coherent Optical Signals

We demonstrate autonomous fault diagnosis platform that performs data collection, analyzing, and inferring of the cause in photonic network with the help of machine learning. We successfully clarified the cause of failures by implementing workflows in StackStorm and real-time monitoring containers in WhiteBox packet transponder.