Patent · US Active

Method for verifying the production process of field devices by means of a machine-learning system or of a prognosis system

US11586984B2 · kind B2 · utility

0Cited by

2References

7Claims

0Family size

Assignee

ENDRESS+HAUSER GROUP SERVICES AG · CH

Inventors

Tommi Dirk Kramer · Forst, DE
Patrick Galli · Bickensohl, DE
Hans Joachim Fröhlich · Arlesheim, CH
Ulrich Kaiser · Warstein, DE
Thomas Fricke · Berlin, DE
Enrico Mario De Stasio · Fey, CH

Key dates

Filing date	Jun 15, 2020
Grant date	Feb 21, 2023
Priority date	—
Expiry date	Mar 9, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG16Y40/40
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.