Abstract Applications of Machine Learning (ML) algorithms in Structural Health Monitoring
(SHM) have become of great interest in recent years owing to their superior ability to detect …

Predictive models are an important element in dam safety analysis. They provide an
estimate of the dam response faced with a given load combination, which can be compared …

Predictive models are essential in dam safety assessment. Both deterministic and statistical
models applied in the day-to-day practice have demonstrated to be useful, although they …

Data-based models are extensively applied in concrete dam health monitoring. In this paper,
the Empirical Mode Decomposition (EMD) is adopted to extract and visualize the irreversible …

The mechanism of dam safety monitoring model is analyzed; for the dam system
comprehensive affected by multi-factor, the map** relationship between the influence …

Monitoring civil infrastructures to detect early damage and extract the data required for urban
management can prevent sudden infrastructure collapse, increase infrastructure …

Health monitoring of dams is based on measuring significant quantities that characterize
their behavior (like Crack opening displacement, radial displacements, etc.) and on …

The monitoring and interpretation of electrical signals have been evolving nowadays. In this
paper, an autonomous system based on the concepts of adaptivity has been developed with …