Patents by Inventor Jens Kohlmorgen

Jens Kohlmorgen 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: 7277831
    Abstract: In a method for detecting the modes of a dynamic system with a large number of modes that each have a set ? (t) of characteristic system parameters, a time series of at least one system variable x(t) is subjected to modeling, for example switch segmentation, so that in each time segment of a predetermined minimum length a predetermined prediction model, for example a neural network, for a system mode is detected for each system variable x(t), whereby modeling of the time series is followed by drift segmentation in which, in each time segment in which there is transition of the system from a first system mode to a second system mode, a series of mixed prediction models is detected produced by linear, paired superimposition of the prediction models of the two system modes.
    Type: Grant
    Filed: September 11, 1998
    Date of Patent: October 2, 2007
    Assignee: Fraunhofer-Gesellschaft zur Forderung der angewandten Forschung e. V.
    Inventors: Klaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen
  • Patent number: 6915241
    Abstract: A method, implemented on a computer having a fixed amount of memory and CPU resources, for analyzing a sequence of data units derived from a dynamic system to which new data units may be added by classifying the data units, is disclosed. The method comprises determining the similarity of the data units being part of the sequence of data units by calculating the distance between all pairs of data units in a data space. The method further comprises classifying the data units by assigning labels to the data units such that, if the distance of a data unit which is to be classified to any other data unit exceeds a threshold, a new label is assigned to the data unit to be classified. Also, if the threshold is not exceeded, the label of the data unit being closest to the data unit to be classified is assigned to the data unit to be classified.
    Type: Grant
    Filed: April 19, 2002
    Date of Patent: July 5, 2005
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der Angewandten Forschung E.V.
    Inventors: Jens Kohlmorgen, Steven Lemm
  • Publication number: 20030046018
    Abstract: A method for segmentation and identification of nonstationary time series comprises the steps of:
    Type: Application
    Filed: April 19, 2002
    Publication date: March 6, 2003
    Applicant: Fraunhofer-Gesellschaft zur Foerderung der angewandeten Forschung e.V
    Inventors: Jens Kohlmorgen, Steven Lemm