Table 7 Comparison results of Accurac, Recall, Precision and F1-score of various methods without noise (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)

96.32

87.25

89.22

86.08

WDCNN(2017)

74.02

85.42

85.42

85.00

QCNN(2022)

96.57

86.27

85.29

85.10

WKNet1_Inception(2022)

96.08

92.16

94.12

92.94

MRA-CNN(2022)

95.10

93.75

91.67

92.50

MFRANet

98.77

100

100

100

  1. Significance values are in bold.
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