Event-based Detection

Event-Based Detection is a failure detection method that identifies system anomalies by analyzing discrete events or state changes, distinguished from other methods by its reliance on event-triggered observations rather than continuous or periodic monitoring.

156

Publications

8.4K

Citations

546

Authors

227

Institutions

Publications per year

2017–2026

65

Authors

546

  1. DC
    Duan-Yu Chen

    Yuan Ze University, Taiwan

    3 publications · 92 citations

    3

    h-index

  2. GC
    Gregory Cohen

    Western Sydney University, Australia

    3 publications · 112 citations

    3

    h-index

  3. CC
    Chen-Yu Chen

    National Cheng Kung University, Taiwan

    2 publications · 37 citations

    2

    h-index

  4. JW
    Jia-Ching Wang

    National Cheng Kung University, Taiwan

    2 publications · 37 citations

    2

    h-index

  5. EP
    Etienne Pérot

    Centre National d'Études Spatiales, France

    2 publications · 209 citations

    2

    h-index

1–5 of 546

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 221 citations

    3

    h-index

  2. Frontiers in Neuroscience

    3 publications · 216 citations

    3

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Smart Grid

    2 publications · 256 citations

    2

    h-index

  5. IEEE Transactions on Power Systems

    2 publications · 155 citations

    2

    h-index

1–5