Methods, systems, and computer readable media for processing time error data using unsupervised machine learning

Abstract

A method for obtaining time error measurements and processing the time error measurements using unsupervised machine learning includes generating, using a time error measurement tool, timing synchronization test traffic and transmitting the timing synchronization test traffic to a device under test. The method further includes receiving, by the time error measurement tool, responsive timing synchronization test traffic from the device under test. The method further includes generating, by the time error measurement tool, measurements of time error between a clock in the device under test and a reference clock. The method further includes feeding the measurements of time error to a machine learning model that utilizes unsupervised learning to cluster the time error measurements. The method further includes receiving, as output from the machine learning model, clusters of the time error measurements for a plurality of different time durations.

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