Anomaly Detection on EHA sensor signals
99.97AccuracyAE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| AE2026.06 | 99.97 | 100 | 24.9 | 39.8 | 62.4 | |
| Local Outlier Factor2026.06 | 99.9 | 1.6 | 0.8 | 1 | 50.4 | |
| CNN–AE2026.06 | 99.5 | 3 | 11.5 | 4.8 | 55.6 | |
| LSTM–AEAggregation=averaged across key EHA sensor signals2026.06 | 99.5 | 96 | 90 | 93 | 95 | |
| MAD2026.06 | 97.9 | 0.3 | 17.5 | 0.6 | 57.7 | |
| Z-score2026.06 | 91.8 | 0.1 | 31.6 | 0.3 | 61.7 | |
| Gaussian Mixture2026.06 | 90.5 | 0.1 | 34.1 | 0.3 | 62.3 | |
| k-means2026.06 | 90.5 | 0.1 | 34.3 | 0.3 | 62.4 | |
| IQR2026.06 | 87.3 | 0.1 | 37.6 | 0.2 | 62.5 | |
| Isolation Forest2026.06 | 36 | 0 | 69.7 | 0.1 | 52.8 |