US Patent Issued to VOLVO TRUCK on Sept. 15 for "Commercial vehicles rotor cracking prediction using recurrent neural network" (North Carolina Inventor)

ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,737,731, issued on Sept. 15, was assigned to VOLVO TRUCK Corp. (Gothenburg, Sweden).

"Commercial vehicles rotor cracking prediction using recurrent neural network" was invented by Chidambaram Subramanian (Greensboro, N.C.).

According to the abstract* released by the U.S. Patent & Trademark Office: "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. Wh...