Table 1
Comparative performance summary of the proposed model and baseline fault detection methods.
| Method | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | AUC |
|---|---|---|---|---|---|
| Conventional threshold-based method | 89.45 | 87.12 | 86.80 | 86.96 | 0.912 |
| Support vector machine (SVM) | 92.38 | 91.04 | 90.67 | 90.85 | 0.938 |
| Standard autoencoder (AE) | 95.62 | 94.31 | 94.85 | 94.58 | 0.964 |
| LSTM autoencoder (LSTM-AE) | 96.88 | 96.10 | 96.34 | 96.22 | 0.972 |
| Proposed denoising autoencoder (DAE) | 98.33 | 97.23 | 97.66 | 97.34 | 0.9833 |
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