Inclinometer Data

Inclinometer data analysis focuses on interpreting measurements of ground deformation, primarily to detect anomalies indicating potential instability and to forecast future movements. Current research emphasizes the application of Bayesian methods, particularly those incorporating latent Markov processes and nonlinear Bayesian filters, for improved anomaly detection and predictive modeling. This enhanced analytical capability is crucial for risk assessment and decision-making in geotechnical engineering, particularly in infrastructure monitoring and management, leading to safer and more cost-effective solutions.