Table 10 Comparison results of Accuracy, Recall, Precision and F1-score of various methods with noise (SNR = 4 dB) (SEU dataset).

From: A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution

Model

Accuracy (%)

Recall (%)

Precision (%)

F1-score (%)

Resnet18-1d(2016)

44.85

59.80

57.84

56.27

WDCNN(2017)

54.41

67.65

64.22

63.53

QCNN(2022)

78.92

77.45

74.51

74.73

WKNet1_Inception(2022)

75.74

84.38

80.21

81.67

MRA-CNN(2022)

59.31

58.82

60.78

57.28

MFRANet

79.90

93.75

89.58

90.62

  1. Significance values are in bold.
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