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Table 4 Overall classification accuracy achieved by the operators at different noise levels

From: Fault diagnosis of induction motors utilizing local binary pattern-based texture analysis

Feature extraction operator

Classification accuracy (%) at different SNRs (dB)

 

40

35

30

25

20

15

10

5

LBP8,1

100

100

100

100

100

100

89.5833

84.375

LBP8,1 ri

100

100

100

98.9583

94.7917

89.5833

81.25

52.0833

LBP8,1 riu 2

100

100

98.9583

89.5833

81.25

76.0417

72.9167

53.125

CLBP_S 8,1_M 8,1

100

100

100

100

100

100

88.5417

69.7917

CLBP_S 8,1 ri_M 8,1 ri

100

100

100

100

100

100

78.125

50

CLBP_S 8,1 riu 2_M 8,1 riu 2

100

100

100

100

93.75

87.5

85.4167

41.6667