A Signal Based Triangular Structuring Element for Mathematical Morphological Analysis and Its Application in Rolling Element Bearing Fault Diagnosis

Table 2

Details of data sets A, B, and C.

Data set	The number of; training samples	The number of; test samples	Defect size; (inches)	Operating condition
A	10	10	0	Normal
	10	10	0.007	Inner race fault
	10	10	0.007	Ball fault
	10	10	0.007	Outer race fault (at 6:00)
	10	10	0.007	Outer race fault (at 3:00)
	10	10	0.007	Outer race fault (at 12:00)
B	10	10	0	Normal
	10	10	0.021	Inner race fault
	10	10	0.021	Ball fault
	10	10	0.021	Outer race fault (at 6:00)
	10	10	0.021	Outer race fault (at 3:00)
	10	10	0.021	Outer race fault (at 12:00)
C	10	10	0	Normal
	10	10	0.007	Inner race fault
	10	10	0.007	Ball fault
	10	10	0.007	Outer race fault (at 6:00)
	10	10	0.007	Outer race fault (at 3:00)
	10	10	0.007	Outer race fault (at 12:00)
	10	10	0.021	Inner race fault
	10	10	0.021	Ball fault
	10	10	0.021	Outer race fault (at 6:00)
	10	10	0.021	Outer race fault (at 3:00)
	10	10	0.021	Outer race fault (at 12:00)