Table 4 ACC performance comparison of different models in CWRU dataset under different SNRs (%).
From: Attention activation network for bearing fault diagnosis under various noise environments
SNR (dB) | \(-\)9 | \(-\)6 | \(-\)3 | 0 | 3 | 6 | 9 | |
|---|---|---|---|---|---|---|---|---|
Model | Noise type | |||||||
MLSCA-CW (two locations) | Gauss | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 |
Laplace | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | |
Violet | 92.017 | 92.437 | 94.118 | 96.639 | 100.000 | 100.000 | 100.000 | |
Brown | 99.160 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | |
Mixed | 95.378 | 97.899 | 99.580 | 100.000 | 100.000 | 100.000 | 100.000 | |
MLSCA-CW (single location) | Gauss | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 |
Laplace | 99.580 | 99.580 | 99.580 | 100.000 | 100.000 | 100.000 | 100.000 | |
Violet | 91.437 | 92.017 | 93.697 | 94.597 | 95.277 | 99.160 | 100.000 | |
Brown | 99.580 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | |
Mixed | 90.756 | 96.639 | 99.580 | 99.580 | 100.000 | 100.000 | 100.000 | |
LR | Gauss | 48.739 | 56.303 | 60.084 | 65.126 | 71.429 | 80.672 | 81.513 |
Laplace | 47.479 | 48.319 | 61.345 | 67.647 | 68.487 | 73.950 | 75.630 | |
Violet | 49.580 | 56.303 | 58.824 | 60.504 | 61.345 | 62.605 | 31.092 | |
Brown | 31.092 | 31.933 | 33.613 | 35.714 | 38.655 | 44.958 | 52.101 | |
Mixed | 52.941 | 53.782 | 57.983 | 58.824 | 62.605 | 65.126 | 66.387 | |
MC-CNN | Gauss | 97.479 | 98.739 | 99.580 | 100.000 | 100.000 | 100.000 | 100.000 |
Laplace | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | |
Violet | 81.933 | 83.824 | 94.958 | 98.739 | 100.000 | 100.000 | 100.000 | |
Brown | 41.176 | 42.857 | 99.580 | 100.000 | 100.000 | 100.000 | 100.000 | |
Mixed | 82.773 | 86.218 | 99.557 | 100.000 | 100.000 | 100.000 | 100.000 | |
WDCNN | Gauss | 60.504 | 77.311 | 93.277 | 99.580 | 99.580 | 100.000 | 100.000 |
Laplace | 96.387 | 97.185 | 97.899 | 98.697 | 99.370 | 100.000 | 100.000 | |
Violet | 81.092 | 81.513 | 82.521 | 84.538 | 93.025 | 97.479 | 100.000 | |
Brown | 87.815 | 88.655 | 93.697 | 99.160 | 100.000 | 100.000 | 100.000 | |
Mixed | 82.773 | 84.638 | 91.176 | 99.580 | 100.000 | 100.000 | 100.000 | |
Multiscale inner product | Gauss | 92.437 | 98.319 | 98.739 | 99.580 | 100.000 | 100.000 | 100.000 |
Laplace | 89.076 | 94.538 | 99.580 | 100.000 | 100.000 | 100.000 | 100.000 | |
Violet | 84.874 | 88.655 | 89.916 | 91.597 | 92.437 | 97.059 | 100.000 | |
Brown | 99.580 | 99.580 | 99.580 | 100.000 | 100.000 | 100.000 | 100.000 | |
Mixed | 94.538 | 96.526 | 98.375 | 99.131 | 99.580 | 100.000 | 100.000 | |
SANet | Gauss | 92.080 | 92.577 | 93.697 | 94.958 | 100.000 | 100.000 | 100.000 |
Laplace | 98.562 | 99.148 | 99.580 | 99.580 | 100.000 | 100.000 | 100.000 | |
Violet | 65.966 | 73.109 | 74.370 | 85.714 | 87.395 | 97.059 | 100.000 | |
Brown | 38.655 | 49.160 | 60.504 | 79.832 | 79.974 | 80.672 | 87.625 | |
Mixed | 68.487 | 81.092 | 84.034 | 90.336 | 97.479 | 99.160 | 100.000 | |
QCNN | Gauss | 99.580 | 99.580 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 |
Laplace | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 | |
Violet | 84.034 | 85.714 | 91.597 | 93.697 | 95.798 | 100.000 | 100.000 | |
Brown | 90.756 | 91.176 | 99.160 | 99.580 | 99.580 | 100.000 | 100.000 | |
Mixed | 89.076 | 92.017 | 92.437 | 98.319 | 100.000 | 100.000 | 100.000 | |
