Original paper
Dam anomaly assessment based on sequential variational autoencoder and evidence theory
Abstract
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...
Paper Details
Title
Dam anomaly assessment based on sequential variational autoencoder and evidence theory
Published Date
Oct 1, 2021
Volume
98
Pages
576 - 594
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