Patents by Inventor Martin Boschert

Martin Boschert 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).

  • Publication number: 20240110825
    Abstract: A system includes a processor, wherein the processor is programmed to receive sound information and vibrational information from a device in a first environment, generate a training data set utilizing at least the vibrational information and a sound perception score associated with the corresponding sound of the vibrational information, wherein the training data set is fed into an un-trained machine learning model, in response to meeting a convergence threshold of the un-trained machine learning model, outputting a trained machine learning model, receive real-time vibrational information from the device in a second environment, and based on the real-time vibrational information as an input to the trained machine learning model, output a real-time sound perception score indicating characteristics associated with sound emitted from the device.
    Type: Application
    Filed: September 30, 2022
    Publication date: April 4, 2024
    Inventors: Ivan BATALOV, Thomas ALBER, Filipe J. CABRITA CONDESSA, Florian LANG, Felix SCHORN, Carine AU, Matthias HUBER, Dmitry NAUMKIN, Michael KUKA, Balázs LIPCSIK, Martin BOSCHERT, Andreas HENKE
  • Publication number: 20240112019
    Abstract: A system includes a processor in communication with one or more sensors. The processor is programmed to receiving, from the one or more sensors, vibrational information and sound information associated with the vibrational information from a test device, generating a training data set utilizing at least the vibrational data and the sound information associated with the vibrational data, wherein the training data set is sent to a machine learning model configured to output sound predictions, receiving real-time vibrational data from a run-time device running an actuator or electric dive emitting the real-time vibrational data, and based on the machine learning model and the real-time vibrational data, output a sound prediction indicating a purported sound emitted from the run-time device.
    Type: Application
    Filed: September 30, 2022
    Publication date: April 4, 2024
    Inventors: Ivan BATALOV, Thomas ALBER, Filipe J. CABRITA CONDESSA, Florian LANG, Felix SCHORN, Carine AU, Matthias HUBER, Dmitry NAUMKIN, Michael KUKA, Balázs LIPCSIK, Martin BOSCHERT, Andreas HENKE
  • Patent number: 7002279
    Abstract: An armature shaft for an electrical machine having a plurality of notches, extending along the circumference of the armature shaft essentially parallel to the longitudinal direction of the armature shaft, which notches form a notching heap. At least the notching heaps form acute angles whereby the imbalance of the armature directly after the shafts have been press-fitted into the lamination packet is reduced markedly. Moreover, the structure-borne sound of the motors is reduced compared to motors with stamped-out armature packets.
    Type: Grant
    Filed: September 3, 2004
    Date of Patent: February 21, 2006
    Assignee: Robert Bosch GmbH
    Inventors: Andreas Huehsam, Christian Schrempp, Martin Boschert
  • Publication number: 20060033401
    Abstract: An armature shaft for an electrical machine having a plurality of notches, extending along the circumference of the armature shaft essentially parallel to the longitudinal direction of the armature shaft, which notches form a notching heap. At least the notching heaps form acute angles whereby the imbalance of the armature directly after the shafts have been press-fitted into the lamination packet is reduced markedly. Moreover, the structure-borne sound of the motors is reduced compared to motors with stamped-out armature packets.
    Type: Application
    Filed: September 3, 2004
    Publication date: February 16, 2006
    Inventors: Andreas Huehsam, Christian Schrempp, Martin Boschert