Prediction of Tool Remaining Useful Life Based on NHPP-WPHM

A tool remaining useful life prediction method based on a non-homogeneous Poisson process and Weibull proportional hazard model (WPHM) is proposed, taking into account the grinding repair of machine tools during operation. The intrinsic failure rate model is built according to the tool failure data. The WPHM is established by collecting vibration information during operation and introducing covariates to describe the failure rate of the tool operation. In combination with the tool grinding repair, the NHPP-WPHM under different repair times is established to describe the tool comprehensive failure rate. The failure threshold of the tool life is determined by the maximum availability, and the remaining tool life is predicted. Take the cylindrical turning tool of the CNC lathe as an example, the root mean square error, mean absolute error, mean absolute percentage error, and determination coefficient (R-2) are used as indicators. The proposed method is compared with the actual remaining useful life and the remaining useful life prediction model based on the WPHM to verify the effectiveness of the model.

Automated summary

A tool remaining useful life prediction method is proposed based on a non-homogeneous Poisson process and Weibull proportional hazard model, considering the grinding repair of machine tools during operation. The method builds an intrinsic failure rate model using tool failure data and establishes a WPHM by collecting vibration information during operation. By incorporating tool grinding repair, the NHPP-WPHM under different repair times is established to describe the tool's comprehensive failure rate. The effectiveness of the model is verified by comparing it with actual remaining useful life and another WPHM-based prediction model.