Patents by Inventor Sarah OSTERBURG

Sarah OSTERBURG 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).

  • Computer program product, industrial installation, method and apparatus for determining or predicting a position of a web break
    Patent number: 12085927
    Abstract: A computer program product, an industrial installation in particular a paper-making machine, an apparatus and method for predicting a position of a web break of a fibrous material web that has occurred or is imminent, wherein the method includes capturing parameters, in particular speeds of rollers for transporting the fibrous material web or a web tension thereof, where the parameters are advantageously stored in the form of time series, a self-learning algorithm is used to detect the imminent web break and to determine the position of the web break which is imminent and/or has occurred, where the basis for the detection or the determination is a deviation of the respective parameter, such as from a temporal mean of the respective parameter.
    Type: Grant
    Filed: February 24, 2020
    Date of Patent: September 10, 2024
    Assignees: SIEMENS AKTIENGESELLSCHAFT, SIEMENS ENERGY GLOBAL GMBH & CO. KG
    Inventors: Konrad Moritz Grießinger, Sarah Osterburg
  • Computer Program Product, Industrial Installation, Method and Apparatus for Determining or Predicting a Position of a Web Break
    Publication number: 20220147033
    Abstract: A computer program product, an industrial installation in particular a paper-making machine, an apparatus and method for predicting a position of a web break of a fibrous material web that has occurred or is imminent, wherein the method includes capturing parameters, in particular speeds of rollers for transporting the fibrous material web or a web tension thereof, where the parameters are advantageously stored in the form of time series, a self-learning algorithm is used to detect the imminent web break and to determine the position of the web break which is imminent and/or has occurred, where the basis for the detection or the determination is a deviation of the respective parameter, such as from a temporal mean of the respective parameter.
    Type: Application
    Filed: February 24, 2020
    Publication date: May 12, 2022
    Inventors: Konrad Moritz GRIEßINGER, Sarah OSTERBURG