Unsupervised spatio-temporal state estimation for fine-grained anomaly diagnosis of cyber-physical systems
To reveal the spatio-temporal dependence and evolution mechanisms in cyber-physical system operational states, a fine-grained adaptive multivaviate time series anomaly diagnosis (MAD-Transformer) model was proposed for identifying and diagnosing anomalies in multivariate time series (MTS). MAD-Trans...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2025-07-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025129/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|