Patents by Inventor Patrick Galli

Patrick Galli has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method for verifying the production process of field devices by means of a machine-learning system or of a prognosis system
    Patent number: 11586984
    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.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: February 21, 2023
    Assignee: Endress+Hauser Group Services AG
    Inventors: Tommi Dirk Kramer, Patrick Galli, Hans Joachim Fröhlich, Ulrich Kaiser, Thomas Fricke, Enrico Mario De Stasio
  • METHOD FOR VERIFYING THE PRODUCTION PROCESS OF FIELD DEVICES BY MEANS OF A MACHINE-LEARNING SYSTEM OR OF A PROGNOSIS SYSTEM
    Publication number: 20200395132
    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.
    Type: Application
    Filed: June 15, 2020
    Publication date: December 17, 2020
    Inventors: Tommi Dirk Kramer, Patrick Galli, Hans Joachim Fröhlich, Ulrich Kaiser, Thomas Fricke, Enrico Mario De Stasio