The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 10, 2023

Filed:

Sep. 12, 2018
Applicant:

Sensr Monitoring Technologies Llc, Georgetown, TX (US);

Inventors:

Brett Story, Rockwall, TX (US);

Jase D. Sitton, Dallas, TX (US);

John P. Orsak, Austin, TX (US);

Walter F. Bleser, II, Denver, CO (US);

Assignees:

SOUTHERN METHODIST UNIVERSITY, Dallas, TX (US);

SENSR Monitoring Technologies LLC, Georgetown, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2022.01); G06K 9/00 (2022.01); G01P 15/08 (2006.01); G06V 10/82 (2022.01); G01P 15/135 (2006.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G01P 15/0891 (2013.01); G01P 15/135 (2013.01); G06K 9/00536 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06V 10/82 (2022.01); G01P 15/08 (2013.01);
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.


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