Research Article
An Explainable Probabilistic Model for Health Monitoring of Concrete Dam via Optimized Sparse Bayesian Learning and Sensitivity Analysis
Table 1
Statistical information about the dam behaviors and ambient data.
| Data category (unit) | Maximum | Minimum | Mean | Monitoring frequency | Data amount |
| CB2 displacement (mm) | 15.95 | −27.48 | −6.79 | 1.5 weeks | 688 | CB3 displacement (mm) | 3.91 | −5.00 | −0.33 | 1.5 weeks | 681 | Seepage flowrate (L/min) | 26.46 | 0.01 | 6.54 | 1.5 weeks | 661 | Reservoir water height (m) | 41.15 | 0 | 28.02 | 1 day | 4749 | Temperature (°C) | 18.35 | −13.35 | 5.01 | 1 day | 4749 | Daily rainfall (mm) | 88.00 | 0 | 2.15 | 1 day | 4749 |
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The provided data are automatically checked, and there is no need for data cleaning.
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