Photonic Method and Apparatus for Estimating over TORQUEEVENTS of a Driveshaft of a Vehicle Quantum Information Processing System

An apparatus for predicting overtorque events of a driveshaft of a vehicle without using a direct measurement of a torque of the driveshaft of the vehicle, comprising a processor, wherein the processor storing instructions in a non-transitory memory that, when executed, cause the processor to:

• collect vehicle data related to the vehicle;
• preprocess the vehicle data;
• apply a trained machine learning model to the preprocessed vehicle data to generate torque classifications;
• and
• compute the overtorque events of the driveshaft of the vehicle based on the generated torque classifications;
• and
• wherein the trained machine learning model is developed based on reference data collected from a plurality of reference vehicles, and wherein the collected reference data comprises torque information received from torque sensors of the reference vehicles.

A non-transitory computer-readable storage medium for predicting overtorque events of a driveshaft of a vehicle without using a direct measurement of a torque of the driveshaft of the vehicle, having stored thereon instructions executable by a computer system to perform operations comprising:

• collecting vehicle data related to the vehicle;
• preprocessing the vehicle data;
• applying a trained machine learning model to the preprocessed vehicle data to generate torque classifications;
• and
• computing the overtorque events of the driveshaft of the vehicle based on the generated torque classifications;
• and
• wherein the trained machine learning model is developed based on reference data collected from a plurality of reference vehicles;
• and wherein the collected reference data comprises torque information received from torque sensors of the reference vehicles.