Table 6 Structural health assessment results and accuracy verification.
From: Structural health monitoring and evaluation method for an immersed tunnel based on deep learning
Health level | Days | ||
|---|---|---|---|
Kalman | Weight | Bayesian | |
IV | 10 | 10 | 10 |
III | 0 | 0 | 0 |
II | 0 | 0 | 0 |
I | 0 | 0 | 0 |
Standard deviation (Stability) | 0.01 | 0.18 | 0.03 |
R square value of the trend (Trend) | 0.70 | 0.54 | 0.61 |
P-Value of Trend (Tendency) | 5.1E-03 | 9.7E-03 | 0.01 |
Average difference after noise (Robustness) | 0.04 | 0.04 | 0.04 |
Standard deviation of the difference (Robustness) | 0.02 | 0.03 | 0.03 |
