Youliang Ding

Bridge Anomaly Diagnosis Based on a Feature-Augmented BiLSTM Autoencoder and Hotelling T2 Test

For bridges in long-term operation, only limited abnormal samples with clear labels are available, which makes it difficult to apply conventional supervised methods that require sufficient labeled data. To address this problem, this study proposes a bridge anomaly diagnosis metho...