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Table 4 Comparison with the results obtained using 2-D grayscale-based CNN

From: Connected Components-based Colour Image Representations of Vibrations for a Two-stage Fault Diagnosis of Roller Bearings Using Convolutional Neural Networks

Training size (%) 2-D grayscale vibration images-based CNN classification accuracy Our proposed RGBVI-CNN classification accuracy
40 86.8% ± 13.1 99.3% ± 0.7
50 88.1% ± 11.6 99.8% ± 0.1
60 91.7% ± 8.2 99.9% ± 0.1
70 92.6% ± 7.4 100% ± 0.0