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. 21, 2023

Filed:

Jun. 15, 2020
Applicant:

Endress+hauser Group Services Ag, Reinach, CH;

Inventors:

Tommi Dirk Kramer, Forst, DE;

Patrick Galli, Vogtsburg, DE;

Hans Joachim Fröhlich, Arlesheim, CH;

Ulrich Kaiser, Basel, CH;

Thomas Fricke, Nesselwang, DE;

Enrico Mario De Stasio, Fey, CH;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G16Y 40/40 (2020.01); G06N 3/04 (2023.01); G16Y 30/00 (2020.01); G05B 19/042 (2006.01); G16Y 10/25 (2020.01); G16Y 10/75 (2020.01); G16Y 20/20 (2020.01); G16Y 40/20 (2020.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G05B 19/0428 (2013.01); G06N 3/04 (2013.01); G16Y 10/25 (2020.01); G16Y 10/75 (2020.01); G16Y 20/20 (2020.01); G16Y 30/00 (2020.01); G16Y 40/20 (2020.01); G16Y 40/40 (2020.01);
Abstract

The present disclosure relates to a method for verifying the production process of field devices, including a step of accessing a service platform on which data from field devices, including identification data, the respective type of field device, configuration data, containing application-specific data, environment information of the field devices or parameter data, data relating to the production date of a respective field device and repair or troubleshooting cases of the field devices are stored. The method also includes steps of detecting anomalies by statistically evaluating the repair or troubleshooting cases stored on service platform and creating a notification in the event of a detected anomaly, supplying the data of the field devices and the notifications to a machine learning or prognosis system, and evaluating the data of the field devices and the notifications by means of the machine learning or prognosis system for forecasting series errors of the field devices.


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