MACHINE LEARNING-BASED BAD CABLE DETECTION

Abstract: example systems, devices, and techniques are described for inferring a potential bad cable issue associated with a cable. an example system includes processing circuitry configured to determine a class of a cable associated with one of a plurality of network interfaces. the processing circuitry is configured to select, based on the class of the cable, a first machine learning model of a plurality of machine learning models. the processing circuitry is configured to determine, based on the class of the cable and the one of the plurality of network interfaces, a first feature set of the performance data. the processing circuitry is configured to execute the first machine learning model to infer, based on the first feature set, a potential bad cable issue associated with the cable and output an indication of the potential bad cable issue associated with the cable.

Inventor(s): Vamsidhar Reddy Devireddy Venkata, Pooja Sambhaji Ayanile, Sanjeev Kumar Mishra, Sabyasachi Mukhopadhyay

CPC Classification: G06F11/221 (Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing)

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