Patents by Inventor Wolfgang Gauchel

Wolfgang Gauchel 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: 11300952
    Abstract: An error detection and localisation in a pneumatic system and in particular an error detection module includes a read-in interface for reading-in digital signals from the automation plant, a first processor unit designed to execute a detection algorithm for calculating an anomaly score for the automation plant on the basis of the set of read-in signals, a second processor unit which is designed—in the event that the anomaly score calculated with the first processor unit indicates an anomaly—to perform a machine localisation method for localising the error, wherein the machine localisation method has been trained in a training phase in order to calculate and as a result provide, on the basis of a detected circuit diagram of the automation plant with respect to the calculated anomaly score, probabilities of possible causes of error in relation to individual components of the automation plant.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: April 12, 2022
    Assignee: Festo SE & CO. KG
    Inventors: Dominic Kraus, Thilo Streichert, Wolfgang Gauchel
  • Publication number: 20200310405
    Abstract: An error detection and localisation in a pneumatic system and in particular an error detection module includes a read-in interface for reading-in digital signals from the automation plant, a first processor unit designed to execute a detection algorithm for calculating an anomaly score for the automation plant on the basis of the set of read-in signals, a second processor unit which is designed—in the event that the anomaly score calculated with the first processor unit indicates an anomaly—to perform a machine localisation method for localising the error, wherein the machine localisation method has been trained in a training phase in order to calculate and as a result provide, on the basis of a detected circuit diagram of the automation plant with respect to the calculated anomaly score, probabilities of possible causes of error in relation to individual components of the automation plant.
    Type: Application
    Filed: March 27, 2020
    Publication date: October 1, 2020
    Inventors: Dominic Kraus, Thilo Streichert, Wolfgang Gauchel