Torque evolution for wear failure assessment of a micro-transmission system

This is the authors' abstract. We don't add key points for this paper.

The evolution of system torque in a gear transmission system directly reflects its energy loss and degradation process. In this study, we proposed using system torque as an assessment indicator for the wear failure process of a micro-transmission system, enabling service life prediction. A dynamic simulation model of the micro-transmission system was established to obtain the kinematic characteristics, which then served as input conditions for a self-developed accelerated vibration test platform. Subsequently, torque measurements were conducted under random vibration conditions with varying multiples to obtain torque evolution curves, and the system torque was used to quantify the failure indicator. Additionally, the inverse power law (IPL) model was adopted for service life assessment, and its predictive capability was experimentally validated. The results demonstrate that using system torque as a wear failure assessment indicator effectively characterizes the wear evolution process and shows strong potential for service life prediction.