College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Sensors (Basel). 2022 Jun 24;22(13):4763. doi: 10.3390/s22134763.
Tool condition monitoring can be employed to ensure safe and full utilization of the cutting tool. Hence, remaining useful life (RUL) prediction of a cutting tool is an important issue for an effective high-speed milling process-monitoring system. However, it is difficult to establish a mechanism model for the life decreasing process owing to the different wear rates in various stages of cutting tool. This study proposes a three-stage Wiener-process-based degradation model for the cutting tool wear estimation and remaining useful life prediction. Tool wear stages classification and RUL prediction are jointly addressed in this work in order to take full advantage of Wiener process, as this three-stage Wiener process definitely constitutes to describe the degradation processes at different wear stages, based on which the overall useful life can be accurately obtained. The numerical results obtained using extensive experiment indicate that the proposed model can effectively predict the cutting tool's remaining useful life. Empirical comparisons show that the proposed model performs better than existing models in predicting the cutting tool RUL.
刀具状态监测可确保安全并充分利用刀具。因此，刀具的剩余使用寿命 (RUL) 预测对于有效的高速铣削过程监测系统是一个重要问题。然而，由于刀具不同阶段的磨损率不同，建立寿命降低过程的机理模型是很困难的。本研究提出了一种基于三阶段 Wiener 过程的刀具磨损估计和剩余使用寿命预测退化模型。本工作联合解决了刀具磨损阶段分类和 RUL 预测问题，以充分利用 Wiener 过程，因为这种三阶段 Wiener 过程肯定可以描述不同磨损阶段的退化过程，从而可以准确获得整体使用寿命。通过广泛的实验获得的数值结果表明，所提出的模型可以有效地预测刀具的剩余使用寿命。经验比较表明，与现有模型相比，所提出的模型在预测刀具 RUL 方面表现更好。
