Patents by Inventor Daniel D. Sheahan

Daniel D. Sheahan 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).

  • Fan behavior anomaly detection using neural network
    Patent number: 12396126
    Abstract: Generally discussed herein are devices, systems, and methods for predicting fan failure. A method includes providing, to a first NN that models nominal behavior of a first fan and provides a value indicating a first amount of deviation from nominal as an output, first parameters of fan operation of the first fan, receiving, from the first NN and responsive to the first parameters, first data indicating the first amount of deviation from nominal, providing, to a second NN that models nominal behavior of a second fan and provides a value indicating a second amount of deviation from nominal as an output, second parameters of fan operation of the second fan, receiving, from the second NN and responsive to the first parameters, second data indicating the second amount of deviation from nominal, and estimating that the first or second fan has failed by comparing the first and second data.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: August 19, 2025
    Assignee: Raytheon Company
    Inventors: Eric Warner, Michael R. Salpukas, Arjang J. Noushin, Daniel J. Tipaldo, Daniel D. Sheahan
  • FAN BEHAVIOR ANOMALY DETECTION USING NEURAL NETWORK
    Publication number: 20230196088
    Abstract: Generally discussed herein are devices, systems, and methods for predicting fan failure. A method includes providing, to a first NN that models nominal behavior of a first fan and provides a value indicating a first amount of deviation from nominal as an output, first parameters of fan operation of the first fan, receiving, from the first NN and responsive to the first parameters, first data indicating the first amount of deviation from nominal, providing, to a second NN that models nominal behavior of a second fan and provides a value indicating a second amount of deviation from nominal as an output, second parameters of fan operation of the second fan, receiving, from the second NN and responsive to the first parameters, second data indicating the second amount of deviation from nominal, and estimating that the first or second fan has failed by comparing the first and second data.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 22, 2023
    Inventors: Eric Warner, Michael R. Salpukas, Arjang J. Noushin, Daniel J. Tipaldo, Daniel D. Sheahan