The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 06, 2026

Filed:

May. 11, 2023
Applicant:

Kuka Deutschland Gmbh, Augsburg, DE;

Inventors:

Jonas Schwinn, Diedorf, DE;

Jonas Reiher, Aachen, DE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 18/241 (2023.01);
U.S. Cl.
CPC ...
G06F 18/241 (2023.01); G06F 11/0736 (2013.01); G06F 11/079 (2013.01);
Abstract

A method for assessing and/or monitoring a process and/or a multi-axis machine includes recording at least one data time series, wherein the at least one data time series includes at least one channel describing at least one parameter of the process and/or of the multi-axis machine, and wherein the data time series is caused by the process. An interpretable result is determined by a machine learning algorithm based on the at least one data time series, wherein the result describes a classification value of a state in the process and/or of a state of the multi-axis machine. A warning is output when determining the result if the classification value of the state in the process and/or of the state of the multi-axis machine is assigned to a value of an error class that is in a warning range or corresponds to a warning range, and an all-clear signal is output if the classification value of the state in the process and/or of the state of the multi-axis machine is assigned to a value of an error class that is in an all-clear range or corresponds to an all-clear range.


Find Patent Forward Citations

Schwinn, Jonas. (2026). Monitoring a multi-axis machine using interpretable time series classification (U.S. Patent No. 12754976). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12754976

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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