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...
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| Main Authors: | SUN Haili, HUANG Yan, HAN Lansheng, ZHOU Chunjie |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2025-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025129/ |
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