Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning

Table 3

Comparison of the proposed method with state-of-the-art methods.

Method	Considered working conditions	Diagnosis accuracy (%)
The proposed method	10	98.03
HHT + CNN [7]	10	95
MEISVM [24]	7	96.22
SS-DPSOM [25]	4	95.8
8WPE-MF + SVM [26]	10	88.9