Research Article

Remaining Useful Life Prediction of Milling Tool Based on Pyramid CNN

Table 5

Performance estimation result of four different networks.

Testing datasetsNetwork-1Network-2Network-3PCNN

C1Score40.152 ± 7.48642.934 ± 5.06347.013 ± 4.82853.962±1.813
RMSE29.407 ± 1.71225.122 ± 1.59223.114 ± 1.58119.374±0.923

C2Score40.274 ± 7.39743.771 ± 4.81148.167 ± 4.76552.217±1.872
RMSE28.903 ± 1.66424.913 ± 1.42823.022 ± 1.41219.139±0.853

C3Score39.914 ± 8.15243.912 ± 4.70248.369 ± 4.10552.771±1.617
RMSE29.729 ± 1.67724.502 ± 1.43723.216 ± 1.24119.424±0.721

C4Score40.889 ± 7.10944.068 ± 4.15548.154 ± 3.90754.248±1.712
RMSE28.597 ± 1.40223.662 ± 1.33922.901 ± 1.20919.051±0.804

The bold values express that the PCNN has the best performance.