Patents by Inventor Frederick Gary SILCOX, JR.

Frederick Gary SILCOX, JR. 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).

  • System and method for controlling operations of a train using energy management machine learning models
    Patent number: 11858543
    Abstract: A train control system uses artificial intelligence for maintaining synchronization between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub, a first set of output control commands from a centralized virtual system modeling engine, and a second set of output control commands from a distributed virtual system modeling engine. The machine learning engine compares the first set of output control commands and the second set of output control commands, and trains a learning system using the training data to enable the machine learning engine to safely mitigate any difference between the first and second sets of output control commands using a learning function including at least one learning parameter.
    Type: Grant
    Filed: December 21, 2020
    Date of Patent: January 2, 2024
    Assignee: Progress Rail Services Corporation
    Inventors: Sammy Akif, John William Brand, Evan Paul Sevel, Frederick Gary Silcox, Jr.
  • SYSTEM AND METHOD FOR CONTROLLING OPERATIONS OF A TRAIN USING ENERGY MANAGEMENT MACHINE LEARNING MODELS
    Publication number: 20220194440
    Abstract: A train control system uses artificial intelligence for maintaining synchronization between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub, a first set of output control commands from a centralized virtual system modeling engine, and a second set of output control commands from a distributed virtual system modeling engine. The machine learning engine compares the first set of output control commands and the second set of output control commands, and trains a learning system using the training data to enable the machine learning engine to safely mitigate any difference between the first and second sets of output control commands using a learning function including at least one learning parameter.
    Type: Application
    Filed: December 21, 2020
    Publication date: June 23, 2022
    Applicant: PROGRESS RAIL SERVICES CORPORATION
    Inventors: Sammy AKIF, John William BRAND, Evan Paul SEVEL, Frederick Gary SILCOX, JR.