Patents by Inventor Andreas Kappl

Andreas Kappl 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 and testing device
    Patent number: 11415618
    Abstract: A method for testing a network is disclosed, the network having a number of network sections, in particular in a cable harness having a number of such networks, having the following steps of: recording training measured values for a number of reference networks, wherein the reference networks correspond to the network to be tested, preprocessing the recorded training measured values in order to eliminate data errors in the training measured values, training a first classification system using the training measured values, wherein the first classification system is based on at least one algorithm from the field of machine learning and is designed to classify a network either as fault-free or faulty, training a second classification system using the training measured values, wherein the second classification system is based on at least one algorithm from the field of machine learning and is designed to classify a faulty network section of a network, recording test measured values for the network to be tested, p
    Type: Grant
    Filed: February 6, 2019
    Date of Patent: August 16, 2022
    Inventors: Michael Franke, Andreas Kappl
  • Method and Testing Device
    Publication number: 20220137119
    Abstract: A method for testing a network is disclosed, the network having a number of network sections, in particular in a cable harness having a number of such networks, having the following steps of: recording training measured values for a number of reference networks, wherein the reference networks correspond to the network to be tested, preprocessing the recorded training measured values in order to eliminate data errors in the training measured values, training a first classification system using the training measured values, wherein the first classification system is based on at least one algorithm from the field of machine learning and is designed to classify a network either as fault-free or faulty, training a second classification system using the training measured values, wherein the second classification system is based on at least one algorithm from the field of machine learning and is designed to classify a faulty network section of a network, recording test measured values for the network to be tested, p
    Type: Application
    Filed: February 6, 2019
    Publication date: May 5, 2022
    Inventors: Michael Franke, Andreas Kappl