Patents by Inventor Norman Volkert

Norman Volkert 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).

  • Patent number: 11971706
    Abstract: The present teachings relate to a method comprising a plurality of sensors, and one or more functionally connected processing units, the method comprising: providing, at any of the one or more processing units, time-series residual data of a sensor object; the sensor object being a group of at least some of the sensors from the plurality of sensors, and wherein the residual data comprises, for each of the sensors of the sensor object, a residue signal which is a difference between the sensor's measured output and the sensor's expected output, monitoring, via any of the one or more processing units, a level signal; wherein the level signal is indicative of a collective time-based variation of the time-series residual data, monitoring, via any of the one or more processing units, an association signal; wherein the association signal is indicative of the variation and/or association structure of the time-series residual data, generating, via any of the one or more processing units, an anomaly event signal when a
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: April 30, 2024
    Assignee: BASF SE
    Inventors: Nikolaos Fanidakis, Claus-Juergen Neumann, Benjamin Priese, Frank Strohmaier, Norman Volkert, Thomas Christ, Torsten Norbert Kneitz, Alexander Kubisch
  • Publication number: 20230053545
    Abstract: The present teachings relate to a method comprising a plurality of sensors, and one or more functionally connected processing units, the method comprising: providing, at any of the one or more processing units, time-series residual data of a sensor object; the sensor object being a group of at least some of the sensors from the plurality of sensors, and wherein the residual data comprises, for each of the sensors of the sensor object, a residue signal which is a difference between the sensor's measured output and the sensor's expected output, monitoring, via any of the one or more processing units, a level signal; wherein the level signal is indicative of a collective time-based variation of the time-series residual data, monitoring, via any of the one or more processing units, an association signal; wherein the association signal is indicative of the variation and/or association structure of the time-series residual data, generating, via any of the one or more processing units, an anomaly event signal when a
    Type: Application
    Filed: January 29, 2021
    Publication date: February 23, 2023
    Inventors: Nikolaos Fanidakis, Claus-Juergen Neumann, Benjamin Priese, Frank Strohmaier, Norman Volkert, Thomas Christ, Torsten Norbert Kneitz, Alexander Kubisch