Name
Title | ||
|---|---|---|
Intelligent Detection for Key Performance Indicators in Industrial-Based Cyber-Physical Systems |
Abstract | ||
|---|---|---|
Intelligent anomaly detection for key performance indicators (KPIs) is important for keeping services reliable in industrial-based cyber–physical systems (CPS). However, it is common in practice for various KPI sampling strategies to be utilized. We experimentally verify that anomaly detection is highly sensitive to irregular sampling, and accordingly go on to investigate low-cost anomaly detectio... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2020.3036168 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Anomaly detection,Time series analysis,Key performance indicator,Monitoring,Feature extraction,Linear matrix inequalities,Heuristic algorithms | Journal | 17 |
Issue | ISSN | Citations |
8 | 1551-3203 | 1 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shiming He | 1 | 1 | 0.34 |
| Zhuozhou Li | 2 | 1 | 0.34 |
| jin wang | 3 | 243 | 36.79 |
| Naixue Xiong | 4 | 183 | 24.39 |