Fault Diagnosis of Rotating Machinery Based on One-Dimensional Deep Residual Shrinkage Network with a Wide Convolution Layer

Algorithm 1

1D-WDRSN based on AdaBN.

	Input: Sample of the target domain p, the expression of the i-th neuron in the BN layer of 1D-WDRSN , and the trained network parameters and
	Output: 1D-WDRSN with the domain adaptability
	For: Calculate the mean and variance of all samples in the target domain
	Calculate the output of the BN layer
	End For