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. 20, 2026

Filed:

Jan. 27, 2023
Applicant:

Hitachi, Ltd., Tokyo, JP;

Inventors:

Takuya Kanazawa, Santa Clara, CA (US);

Ahmed Farahat, Santa Clara, CA (US);

Haiyan Wang, Fremont, CA (US);

Chetan Gupta, San Mateo, CA (US);

Hamed Khorasgani, Santa Clara, CA (US);

Assignee:

HITACHI, LTD., Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/092 (2023.01); G05B 23/02 (2006.01); G06N 5/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/092 (2023.01); G05B 23/0283 (2013.01); G06N 5/045 (2013.01);
Abstract

A method for predictive maintenance of equipment. The method may include receiving expected future return value as input to a decision maker model, wherein the decision maker model is a machine learning model that predicts maintenance action associated with the equipment; feeding recent observations and recent actions from environment as inputs to the decision maker model; generating a next action as model outputs of the decision maker model, wherein the next action is the predicted maintenance action; and executing the next action in the environment.


Find Patent Forward Citations

Kanazawa, Takuya. (2026). Reinforcement learning system for maintenance decision making (U.S. Patent No. 12770013). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12770013

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

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