Table 6 Comparison results of Accurac, Recall, Precision and F1-score of various methods without noise (UoC 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)

81.58

57.04

47.22

49.77

WDCNN(2017)

60.27

34.38

40.62

36.88

QCNN(2022)

75.34

59.26

61.11

58.52

WKNet1_Inception(2022)

43.38

24.07

19.44

18.89

MRA-CNN(2022)

95.59

83.33

87.50

85.00

MFRANet

97.41

93.75

93.75

91.67

  1. Significance values are in bold.
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