Patents by Inventor Victor P. Pauca

Victor P. Pauca 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: 10564130
    Abstract: An apparatus comprises an acoustic sensing system and an analyzer module. The acoustic sensing system is positioned relative to an object, wherein the acoustic sensing system detects acoustic emissions and generates acoustic waveform data for the acoustic emissions detected. The analyzer module is implemented in a computer system that receives load data and the acoustic waveform data for the object, generates a plurality of frequency distribution functions using the acoustic waveform data, and generates a frequency distribution function time evolution image containing a plurality of points of each of the plurality of frequency distribution functions.
    Type: Grant
    Filed: May 4, 2018
    Date of Patent: February 18, 2020
    Assignee: The Boeing Company
    Inventors: Hong Hue Tat, Yuan-Jye Wu, Joseph D. Schaefer, Anne Kao, Mary J. Mathews, Matthew G. Pike, Victor P. Pauca, Rongzhong Li
  • Publication number: 20180252680
    Abstract: An apparatus comprises an acoustic sensing system and an analyzer module. The acoustic sensing system is positioned relative to an object, wherein the acoustic sensing system detects acoustic emissions and generates acoustic waveform data for the acoustic emissions detected. The analyzer module is implemented in a computer system that receives load data and the acoustic waveform data for the object, generates a plurality of frequency distribution functions using the acoustic waveform data, and generates a frequency distribution function time evolution image containing a plurality of points of each of the plurality of frequency distribution functions.
    Type: Application
    Filed: May 4, 2018
    Publication date: September 6, 2018
    Inventors: Hong Hue Tat, Yuan-Jye Wu, Joseph D. Schaefer, Anne Kao, Mary J. Mathews, Matthew G. Pike, Victor P. Pauca, Rongzhong Li
  • Patent number: 9989501
    Abstract: A method and apparatus for analyzing an object using acoustic emissions. Load data is received for the object. Acoustic waveform data is received for the object from an acoustic sensing system. The acoustic waveform data represents acoustic emissions emanating from the object and is detected using the acoustic sensing system. A plurality of bins is created for the load data. A plurality of frequency distribution functions is generated for the plurality of bins using the acoustic waveform data. A set of learning algorithms is applied to the plurality of frequency distribution functions and the acoustic waveform data to generate an output that allows an operator to more easily and quickly assess a structural integrity of the object.
    Type: Grant
    Filed: May 10, 2016
    Date of Patent: June 5, 2018
    Assignee: THE BOEING COMPANY
    Inventors: Hong Hue Tat, Yuan-Jye Wu, Joseph D. Schaefer, Mary J. Mathews, Anne Kao, Victor P. Pauca, Rongzhong Li
  • Publication number: 20170328868
    Abstract: A method and apparatus for analyzing an object using acoustic emissions. Load data is received for the object. Acoustic waveform data is received for the object from an acoustic sensing system. The acoustic waveform data represents acoustic emissions emanating from the object and is detected using the acoustic sensing system. A plurality of bins is created for the load data. A plurality of frequency distribution functions is generated for the plurality of bins using the acoustic waveform data. A set of learning algorithms is applied to the plurality of frequency distribution functions and the acoustic waveform data to generate an output that allows an operator to more easily and quickly assess a structural integrity of the object.
    Type: Application
    Filed: May 10, 2016
    Publication date: November 16, 2017
    Inventors: Hong Hue Tat, Yuan-Jye Wu, Joseph D. Schaefer, Mary J. Mathews, Anne Kao, Victor P. Pauca, Rongzhong Li