Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks

Table 2

Parameters of MS-CNN.

Layer	Parameter
1st fused layer	KS = 16 × 1; r = 1; n = 4; s = 1
	KS = 16 × 1; r = 2; n = 4; s = 1
	KS = 16 × 1; r = 3; n = 4; s = 1
2nd fused layer	KS = 8 × 1; r = 1; n = 8; s = 1
	KS = 8 × 1; r = 2; n = 8; s = 1
	KS = 8 × 1; r = 3; n = 8; s = 1
3rd fused layer	KS = 4 × 1; r = 1; n = 16; s = 1
	KS = 4 × 1; r = 2; n = 16; s = 1
	KS = 4 × 1; r = 3; n = 16; s = 1
1st FC layer	N = 256; action function: ReLU
2nd FC layer	N = 64; action function: ReLU
3rd FC layer	N = 1; action function: sigmoid