Research Article
Structural Vibration Data Anomaly Detection Based on Multiple Feature Information Using CNN-LSTM Model
Table 4
The calculation results of the different models.
| Model | Accuracy (%) | Loss | Time (s) | Preprocessing | Training | Total |
| 1D-CNN | 88.78 | 0.5242 | 238.8 | 21.4 | 260.2 | CNN | 89.43 | 0.3740 | 583.3 | 54.9 | 638.2 | LSTM | 89.02 | 0.4158 | 238.8 | 86.6 | 325.4 | Bi-LSTM | 94.46 | 0.1256 | 238.8 | 200.0 | 438.8 | CNN-LSTM | 99.83 | 0.0140 | 238.8 | 37.8 | 276.6 |
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