Mary M Mathews

US Patent:

8413928, Apr 9, 2013

Filed:

Sep 25, 2009

Appl. No.:

12/566907

Inventors:

Diane C. Rawlings - Bellevue WA, US
Mary J. Mathews - Mercer Island WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

B64C 1/38
B64C 3/36

US Classification:

244130, 244198

Abstract:

An array of aerodynamic riblets is formed with a surface layer for adhering to an aerodynamic surface and a plurality of riblet tips having a parabolic cross section extending from the surface layer.

US Patent:

20180252680, Sep 6, 2018

Filed:

May 4, 2018

Appl. No.:

15/971937

Inventors:

- Chicago IL, US
Yuan-Jye Wu - Issaquah WA, US
Joseph D. Schaefer - St. Louis MO, US
Anne Kao - Bellevue WA, US
Mary J. Mathews - Brier WA, US
Matthew G. Pike - St. Louis MO, US
Victor P. Pauca - Winston-Salem NC, US
Rongzhong Li - Winston-Salem NC, US

International Classification:

G01N 29/14
G01N 29/46

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.

US Patent:

20170328868, Nov 16, 2017

Filed:

May 10, 2016

Appl. No.:

15/150595

Inventors:

- Chicago IL, US
Yuan-Jye Wu - Issaquah WA, US
Joseph D. Schaefer - St. Louis MO, US
Mary J. Mathews - Brier WA, US
Anne Kao - Bellevue WA, US
Victor P. Pauca - Winston-Salem NC, US
Rongzhong Li - Winston-Salem NC, US

International Classification:

G01N 29/14
G01L 1/10
G01H 1/00

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.