Research Article
Bearing Fault Diagnosis Based on Deep Belief Network and Multisensor Information Fusion
Table 5
Results of training datasets.
| Method | Experiment results of each group (%) | Average (%) | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
| DBN | 95.25 | 95 | 95.5 | 96 | 95 | 97.25 | 95 | 95.5 | 95.25 | 96 | 97 | 96.25 | 95.5 | 96 | 95.25 | 95.72 | SVM | 94.5 | 90 | 91 | 94 | 92.5 | 91 | 92.5 | 94 | 93.5 | 91 | 89.5 | 91 | 92 | 94.5 | 93.25 | 92.28 | KNN | 90 | 88 | 87.25 | 87 | 93.75 | 89.75 | 90 | 89 | 92 | 92 | 92.5 | 90.25 | 90 | 89 | 90.5 | 90.06 | BPNN | 84.5 | 82.5 | 80 | 80.5 | 82.5 | 84 | 86 | 80 | 82.5 | 85 | 86.5 | 84 | 83 | 88.5 | 85 | 83.63 |
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