Method for verifying the production process of field devices by means of a machine-learning system or of a prognosis system
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United States of America Patent
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Feb 21, 2023
Grant Date -
Dec 17, 2020
app pub date -
Jun 15, 2020
filing date -
Jun 13, 2019
priority date (Note) -
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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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