Table 9 Comparison results of Accuracy, Recall, Precision and F1-score of various methods with noise (SNR = 0 dB) (UoC dataset).

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

Model

Accuracy (%)

Recal l(%)

Precision (%)

F1-score (%)

Resnet18-1d (2016)

34.09

43.75

57.50

40.61

WDCNN (2017)

29.68

37.50

33.33

33.87

QCNN (2022)

31.96

50.00

55.42

47.50

WKNet1_Inception (2022)

21.16

28.12

13.75

19.54

MRA-CNN (2022)

54.03

65.62

73.96

63.21

MFRANet

62.40

71.88

78.12

71.88

  1. Significance values are in bold.
Back to article page