Open Access
Table 5
Using the same feature extraction methods and different convolutional neural networks, AUC/pAUC value summary. All values are in %.
| Feature | Log-Mel | Log-Mel | Log-Mel | Log-Mel |
|---|---|---|---|---|
| Algorithm | VAE | CAE | WaveNet | Ensemble |
| ToyCar | 93.39/85.46 | 91.25/87.36 | 96.73/89.30 | 98.30/93.55 |
| ToyConveyor | 83.46/68.98 | 72.23/60.23 | 87.22/72.59 | 89.02/73.89 |
| Fan | 80.94/66.55 | 81.82/76.98 | 93.51/85.10 | 94.12/88.23 |
| Pump | 85.26/74.35 | 88.17/80.36 | 95.87/89.53 | 97.31/92.56 |
| Slider | 95.64/90.74 | 86.49/74.65 | 97.36/94.60 | 97.85/94.54 |
| Valve | 91.54/77.10 | 84.59/62.41 | 97.94/91.58 | 98.35/92.11 |
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