Dam anomaly assessment based on sequential variational autoencoder and evidence theory

Considering the multi-sources, heterogeneity and complexity of dam anomaly assessment, a novel anomaly assessment model based on sequential variational autoencoder and evidence theory is proposed to perform dam anomaly assessment. The anomaly assessment model consists of two stages: anomaly detection and anomaly fusion. At the stage of anomaly detection, a novel sequential variational autoencoder is proposed. The backbone of sequential...