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:
Feb. 24, 2026

Filed:

Jul. 28, 2021
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Steffen Lamparter, Feldkirchen, DE;

Maja Milicic Brandt, Munich, DE;

Nataliia Rümmele, Munich, DE;

Swathi Shyam Sunder, Munich, DE;

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/02 (2006.01); G06F 18/20 (2023.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G05B 13/028 (2013.01); G05B 13/026 (2013.01); G06F 18/2178 (2023.01); G06F 18/285 (2023.01); G06F 18/295 (2023.01);
Abstract

Hidden Features are locally extracted from Industrial Data of the industrial system by a Local Application executed on a local computer of a customer. The Hidden Features are uploaded to an external computer of a service provider. A Domain Model for the industrial system is externally determined from an Industrial Model Library (IML) on the external computer based on the uploaded Hidden Features by an External Algorithm including at least one Machine Learning Model (MLM) executed on the external computer. The determined Domain Model for the industrial system is provided to the customer. The at least one MLM has been trained on ranking most appropriate Domain Models for industrial systems based on Hidden Features of the respective industrial systems. The most appropriate Domain Models represent all relevant technical aspects of the respective industrial systems.


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