Patents by Inventor JASE D. SITTON

JASE D. SITTON 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).

  • Bridge impact detection and classification systems and methods
    Patent number: 11551092
    Abstract: A method for classifying a response signal of acceleration data of a structure includes obtaining at least one signal feature of a response signal, inputting the at least one signal feature into an artificial neural network, and classifying, using the artificial neural network, the response signal as an impact event or a non-impact event. One or more signal features may be used, including a response length feature, a number of peaks feature, a spectral energy feature, a dominant frequency feature, a maximum response feature, a center of mass feature, a slope feature, an average peak power feature, a response symmetry feature, or combinations thereof. One or more artificial neural networks may be used. The artificial neural networks may be trained using different combinations of signal features.
    Type: Grant
    Filed: September 12, 2018
    Date of Patent: January 10, 2023
    Assignees: SOUTHERN METHODIST UNIVERSITY, SENSR Monitoring Technologies LLC
    Inventors: Brett Story, Jase D. Sitton, John P. Orsak, Walter F. Bleser, II
  • BRIDGE IMPACT DETECTION AND CLASSIFICATION SYSTEMS AND METHODS
    Publication number: 20190080237
    Abstract: A method for classifying a response signal of acceleration data of a structure includes obtaining at least one signal feature of a response signal, inputting the at least one signal feature into an artificial neural network, and classifying, using the artificial neural network, the response signal as an impact event or a non-impact event. One or more signal features may be used, including a response length feature, a number of peaks feature, a spectral energy feature, a dominant frequency feature, a maximum response feature, a center of mass feature, a slope feature, an average peak power feature, a response symmetry feature, or combinations thereof. One or more artificial neural networks may be used. The artificial neural networks may be trained using different combinations of signal features.
    Type: Application
    Filed: September 12, 2018
    Publication date: March 14, 2019
    Applicants: SOUTHERN METHODIST UNIVERSITY, SENSR Monitoring Technologies LLC
    Inventors: BRETT STORY, JASE D. SITTON, JOHN P. ORSAK, WALTER F. BLESER, II