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Table 2 Robustness to noise

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

Model

Mean accuracy under −4 dB (%)

Mean accuracy under 4 dB (%)

Noise influence (NI)

CNN

53.67 \(\pm\) 1.36

73.05 \(\pm\) 2.22

3.32

SincNet

66.33 \(\pm\) 2.78

91.01 \(\pm\) 2.52

3.40

WaveletNet-L

65.78 \(\pm\) 3.98

88.59 \(\pm\) 2.48

3.22

WaveletNet-m

66.56 \(\pm\) 2.54

90.08 \(\pm\) 1.16

3.26

WaveletNet-M

50.47 \(\pm\) 2.22

80.08 \(\pm\) 2.38

4.62

RSNet

63.28 \(\pm\) 2.68

93.59 \(\pm\) 1.55

4.05

WCNN

58.20 \(\pm\) 2.4

96.33 \(\pm\) 0.99

4.95

MKCNN

61.17 \(\pm\) 2.99

86.56 \(\pm\) 1.3

3.67

DFAWNet-1

76.09 \(\pm\) 2.37

93.20 \(\pm\) 1.78

2.29

DFAWNet

81.64 \(\pm\) 1.3

96.56 \(\pm\) 1.0

2.10