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:
Apr. 21, 2026

Filed:

Feb. 03, 2023
Applicant:

Hitachi, Ltd., Tokyo, JP;

Inventor:

Akira Inoue, Farmington Hills, MI (US);

Assignee:

HITACHI, LTD., Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/30 (2006.01); G01M 99/00 (2011.01); H04R 3/00 (2006.01);
U.S. Cl.
CPC ...
G01M 99/005 (2013.01); H04R 3/00 (2013.01);
Abstract

In example implementations described herein, there are systems and methods for performing predictive maintenance which can include collecting vibration data related to an operation of a first machine during a first time period, computing sound data related to the operation of the first machine during the first time period based on the collected vibration data, and predicting, based on the computed sound data, at least one value associated with a maintenance of the first machine. In some aspects, the systems and methods may further include measuring an acoustic transfer function relating the vibration data related to the operation of the first machine to one or more of the sound pressure data or the particle velocity data.


Find Patent Forward Citations

Inoue, Akira. (2026). Robust predictive maintenance method for machinery using measured vibration data and estimated sound data (U.S. Patent No. 12607541). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12607541

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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