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Table 4 Average accuracy (%) with different operating conditions

From: Denoising Fault-Aware Wavelet Network: A Signal Processing Informed Neural Network for Fault Diagnosis

Model

Stable condition

Variable condition

Decrease

CNN

92.11 \(\pm\) 2.19

65.69 \(\pm\) 4.21

26.43

WCNN

94.74 \(\pm\) 1.42

65.97 \(\pm\) 6.72

28.77

MKCNN

93.88 \(\pm\) 0.34

67.33 \(\pm\) 2.29

26.55

WaveletNet-L

93.34 \(\pm\) 1.39

65.72 \(\pm\) 6.08

27.62

WaveletNet-m

87.82 \(\pm\) 0.47

59.67 \(\pm\) 1.50

28.14

WaveletNet-M

88.44 \(\pm\) 2.07

58.65 \(\pm\) 3.63

29.78

DSN

94.69 \(\pm\) 1.34

64.06 \(\pm\) 5.55

30.63

SincNet

97.40 \(\pm\) 0.23

80.96 \(\pm\) 3.10

16.45

DFAWNet

98.08 \(\pm\) 0.05

83.68 \(\pm\) 1.64

14.40