Unsupervised deep learning approach for structural anomaly detection using probabilistic features
| Author(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)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, February 2024, n. 1, v. 24 |
| DOI: | 10.1177/14759217241226804 |
- About this
data sheet - Reference-ID
10775655 - Published on:
29/04/2024 - Last updated on:
13/01/2025
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