Unsupervised deep learning approach for structural anomaly detection using probabilistic features
| Auteur(s): |
Hua-Ping Wan
(College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China)
Yi-Kai Zhu (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China) Yaozhi Luo (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China) Michael D. Todd
(Department of Structural Engineering, University of California, San Diego, La Jolla, CA, USA)
|
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring, février 2024, n. 1, v. 24 |
| DOI: | 10.1177/14759217241226804 |
- Informations
sur cette fiche - Reference-ID
10775655 - Publié(e) le:
29.04.2024 - Modifié(e) le:
13.01.2025
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