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:
Sep. 15, 2026

Filed:

Sep. 10, 2020
Applicant:

Volvo Truck Corporation, Gothenburg, SE;

Inventor:

Chidambaram Subramanian, Greensboro, NC (US);

Assignee:

VOLVO TRUCK CORPORATION, Gothenburg, SE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); B60T 17/22 (2006.01); G06Q 10/20 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01); B60T 17/22 (2013.01);
Abstract

Systems, methods, and computer-readable storage media for training a Recurrent Neural Network to evaluate sensor data related to a brake rotor, then diagnosing brake rotors using sensor data and the trained Recurrent Neural Network. Sensor data can include audio data, temperature data, caliper pressure data, and/or any other data related to operation of the brake rotor being evaluated. When a processor is configured to execute the trained Recurrent Neural Network, sensor inputs can be provided to the processor, with the output being a diagnosis of the brake rotor state.


Find Patent Forward Citations

Subramanian, Chidambaram. (2026). Commercial vehicles rotor cracking prediction using recurrent neural network (U.S. Patent No. 12737731). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12737731

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

Loading…