Methods and apparatus for time-sensitive networking coordinated transfer learning in industrial settings

This invention describes a system for industrial settings where machines learn to perform operations better. If a first manufacturing machine isn't performing a manufacturing operation within acceptable limits, the system automatically adjusts its settings or transfers the task to a second manufacturing machine with different settings. This adjustment is based on performance metrics, specifically those associated with the electrical drive signals of the machine.

Why it matters: Since 2021, advancements in machine learning, particularly transfer learning algorithms, have made adaptive industrial control systems more practical and efficient. The increased maturity and adoption of Time-Sensitive Networking (TSN) also enhance the feasibility of real-time, coordinated machine adjustments in factory settings.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, industrial control, machine learning algorithms

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