A Novel Sparse Enhancement Neural Network for Rolling Bearing Fault Diagnosis

Table 2

A comparison of the accuracy among different methods.

Model	SIRCNN [27]	1D-CLN [28]	D-CNN [29]	CNN-SVM [30]	ODCNN [31]	GMC-CNN-FE	GMC-CNN-DE
Accuracy	99.16%	99.93%	98.83% (s)	98.75% (s)	99.58%	99.97% (s)	99.98% (s)
Time	/	/	216.32	35.82	/	151	152