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

Table 1

Dataset description in CWRU.

Fault types	Fault diameter (inches)	Motor load (hp)	Motor speed (r/min)	Samples	Fault states
Normal (N)	—	0/1/2/3	1797/1772/1750/1730	600	1
Inner race (IR)	0.007 (IR7)	0/1/2/3	1797/1772/1750/1730	600	2
	0.014 (IR14)	0/1/2/3	1797/1772/1750/1730	600	3
	0.021 (IR21)	0/1/2/3	1797/1772/1750/1730	600	4
Ball (B)	0.007 (B7)	0/1/2/3	1797/1772/1750/1730	600	5
	0.014 (B14)	0/1/2/3	1797/1772/1750/1730	600	6
	0.021 (B21)	0/1/2/3	1797/1772/1750/1730	600	7
Outer race (OR)	0.007 (OR7)	0/1/2/3	1797/1772/1750/1730	600	8
	0.014 (OR14)	0/1/2/3	1797/1772/1750/1730	600	9
	0.021 (OR21)	0/1/2/3	1797/1772/1750/1730	600	10