Rotating Tool Transmission Damage Assessment Using Torque and Angle

The patent transforms the damage assessment from a simple cycle count to a multi-parameter evaluation system that incorporates torque magnitude, angle of rotation, and their interactions. This changes the assessment parameters from scalar to vector-based measurements, enabling precise damage quantification that reflects actual mechanical stress conditions.

The patent replaces traditional mechanical wear assessment methods with a computational model that uses measured torque and angle data to calculate equivalent damage cycles. This substitution eliminates the need for physical wear indicators while providing more accurate damage prediction through mathematical modeling of fatigue and wear mechanisms.

The patent implements a feedback mechanism where torque and angle measurements from tool operation are continuously monitored and fed into a damage accumulation model. This real-time feedback enables dynamic assessment of tool condition, allowing operators to optimize usage patterns while maintaining reliability thresholds through predictive alerts.

The patent performs preliminary damage assessment calculations during normal operation by accumulating equivalent cycle damage based on measured torque and angle data. This preliminary action enables prediction of remaining tool life before actual failure occurs, allowing proactive maintenance scheduling that maximizes productivity while preventing breakdowns.

The patent transitions from static, fixed-schedule maintenance to dynamic, condition-based maintenance. The maintenance interval is continuously adjusted based on real-time damage accumulation calculations that reflect actual operating conditions, allowing extension of tool life when conditions are favorable and early intervention when damage accumulates rapidly.

The patent performs preliminary damage assessment during normal operation to predict when maintenance will be needed. This advance knowledge allows scheduling maintenance during planned downtime rather than experiencing unplanned breakdowns, and avoids unnecessary maintenance interventions when the tool remains healthy.