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. 2019 Sep 4;19(18):3817. doi: 10.3390/s19183817
ap Depth of cutting (mm)
fz Feed per tooth (mm/z)
vc Cutting speed (m/min)
padding Edge extension parameter
stride Step size
kc Number of convolution kernels
kp Number of pooling kernels
θ Parameter of the objective function
η Learning rate
(m(i), n(i)) Training set data pair
vt Current velocity vector
vt−1 Velocity vector of the previous moment
α Momentum factor
n Number of wear types
TP Number of true positive samples
FP Number of false positive samples
Fk Wear degree detected by the ATWVD method
Ak Wear value measured by the optical microscope
k Number of measured tool wear images