Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals

Table 8

Settings of SAE.

Layer 1	The number of input neurons	128
	The number of hidden neurons	64
	Sparsity	0.1
	Sparsity penalty factor of the loss function	3
	Weight decay factor of the loss function	0.003
Layer 2	The number of input neurons	64
	The number of hidden layer neurons	32
	Sparsity	0.1
	Sparsity penalty factor of the loss function	3
	Weight decay factor of the loss function	0.003
Layer 3	The number of input neurons	32
	The number of hidden neurons	16
	Sparsity	0.1
	Sparsity penalty factor of the loss function	3
	Weight decay factor of the loss function	0.003
Softmax classifier	The number of input neurons	16
	The number of output neurons	4