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:
Oct. 18, 2022

Filed:

Feb. 11, 2021
Applicant:

Purdue Research Foundation, West Lafayette, IN (US);

Inventors:

Martin Byung-Guk Jun, West Lafayette, IN (US);

Hanjun Kim, West Lafayette, IN (US);

Assignee:

Purdue Research Foundation, West Lafayette, IN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04R 29/00 (2006.01); G10L 25/51 (2013.01); G10L 25/18 (2013.01); G06N 3/08 (2006.01); G10L 25/30 (2013.01); H04R 1/08 (2006.01);
U.S. Cl.
CPC ...
G10L 25/51 (2013.01); G06N 3/08 (2013.01); G10L 25/18 (2013.01); G10L 25/30 (2013.01); H04R 1/08 (2013.01);
Abstract

A system and methods for machine anomaly and behavior classification is provided. An audio capture device may attach to a mechanical apparatus comprising a first component and a second component. The first component and second component may separately generate audible noise. The capture device may include a body, a diagraph disposed in the body, and a microphone. The diagraph may vibrate in response to sound generated by the mechanical device. The microphone may generate a signal in response audio caused by the vibrating diagram. The system may receive the signal generated by the microphone of the audio capture device. The system may determine, based on a machine learning model and the signal, an anomalous event associated with the first component, a second component, or a combination thereof. Alternatively, or in addition, the system may classify operation of the machine based on second machine learning model.


Find Patent Forward Citations

Loading…