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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-12583122-B2, on 24 March 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000001578

Automated cavity filter tuning using machine learning

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Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
PICKERD JOHN J, SHARMA AJAIEY KUMAR, TAN KAN
Assignee
TEKTRONIX INC
Original source
US-12583122-B2, the United States Patent and Trademark Office, 24 March 2026
Document SHA-256
afe0f775ca6db29560acae61df40429c8db73f8b9635e6d7c808c5954c2aa50a

Abstract

A test and measurement instrument connects to one or more devices under test (DUT) having tuning screws, and to a robot, and has one or more processors to: command the robot to position the tuning screws on the DUTs to one or more sets of positions, each set of positions being a parameter set for the tuning screws, acquire a set of operating parameters for each parameter set from the DUTs, generate a parameter set image for each set, create a combined image of the parameter set images, provide the combined image to a machine learning system to obtain a predicted set of values, adjust the predicted set of values to produce a set of predicted positions, command the robot to position the tuning screws to positions in the set of predicted positions, obtain a set of tuned operating parameters from the DUTs, and validate operation of the DUTs.

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Citation

OpenTechnical Publication OT-2026-000001578, “Automated cavity filter tuning using machine learning,” published September 15, 2026 at 19:06:47 UTC, https://opentechnical.org/p/OT-2026-000001578.

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