Research Article
A Denoising Autoencoder-Based Bearing Fault Diagnosis System for Time-Domain Vibration Signals
Table 2
Diagnosis results obtained on different bearing datasets.
| Dataset | Metric | ELM | SVM | BPNN1 (500) | BPNN2 (500-500) | BPNN3 (600-200-100) | SAE+BP | Proposed method |
| A | Acc-mean | 11.23 | 77.07 | 83.97 | 85.96 | 78.01 | 86.32 | 92.29 | Acc-std | 0.82 | 0.57 | 0.37 | 0.56 | 0.49 | 0.39 | 0.19 | B | Acc-mean | 11.6 | 74.47 | 85.77 | 88.58 | 79.87 | 87.14 | 93.32 | Acc-std | 0.86 | 0.61 | 0.47 | 0.36 | 0.39 | 0.30 | 0.33 | C | Acc-mean | 11.70 | 72.69 | 89.28 | 89.24 | 77.57 | 88.92 | 93.76 | Acc-std | 0.86 | 0.50 | 0.37 | 0.41 | 0.30 | 0.28 | 0.25 | D | Acc-mean | 11.37 | 72.45 | 87.67 | 89.57 | 81.13 | 88.70 | 94.06 | Acc-std | 0.52 | 0.00 | 0.43 | 0.34 | 0.35 | 0.43 | 0.21 | E | Acc-mean | 13.10 | 93.34 | 96.11 | 97.84 | 93.55 | 97.79 | 99.04 | Acc-std | 1.19 | 0.28 | 0.13 | 0.10 | 0.13 | 0.12 | 0.05 |
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