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:
Nov. 05, 2024

Filed:

Dec. 15, 2021
Applicants:

University of Cincinnati, Cincinnati, OH (US);

Mazak Corporation, Florence, KY (US);

Inventors:

Moslem Azamfar, Cincinnati, OH (US);

Vibhor Pandhare, Cincinnati, OH (US);

Marcella Miller, Cincinnati, OH (US);

Fei Li, Cincinnati, OH (US);

Pin Li, Cincinnati, OH (US);

Jaskaran Singh, Cincinnati, OH (US);

Hossein Davari, Cincinnati, OH (US);

Jay Lee, Mason, OH (US);

Joseph Frank Sanders, Jr., Erlanger, KY (US);

Keita Yamaguchi, Aichi, JP;

Assignees:

University of Cincinnati, Cincinnati, OH (US);

Mazak Corporation, Florence, KY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01M 13/00 (2019.01); B23Q 17/24 (2006.01); G06F 30/27 (2020.01);
U.S. Cl.
CPC ...
G01M 13/00 (2013.01); B23Q 17/2457 (2013.01); G06F 30/27 (2020.01);
Abstract

Systems, methods, and computer program products for monitoring a health condition of a tool. Operational data is collected from a machine while the machine is operating in a predetermined manner with the tool in each of at least two known health conditions. A plurality of features is extracted from the operational data, a training dataset is generated from the extracted features, and an analytic model is trained using the training dataset. The analytic model can then be used to determine the health condition of the tool by providing features extracted from operational data received from one or more field machines to the analytic model. The analytic model may then determine a health condition of the tool in the field machine based on like features extracted from the operational data from the one or more field machines.


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