Accuracy-Improved Fault Diagnosis Method for Rolling Bearing Based on Enhanced ESGMD-CC and BA-ELM Model

Table 1

The results of the first comparative experiments: evaluate the performance under different feature extraction methods.

Dataset	Methods	EEMD	LMD	VMD	SGMD	ESGMD-CC
CWRU	Feature dimension	11	5	7	341	23
	Accuracy (%)	92.95	86.81	96.13	97.05	98.41
HFZZ-II	Feature dimension	14	8	7	28	16
	Accuracy (%)	90.67	85.77	94.36	95.17	96.42