Knowledge-based Fault Detection

Knowledge-Based Fault Detection is a fault detection method that relies on domain-specific knowledge, such as logical rules, expert systems, or qualitative models, to identify anomalies by reasoning about system behavior rather than purely data-driven or statistical analysis.

270

Publications

16.5K

Citations

890

Authors

307

Institutions

Publications per year

2017–2026

102

Authors

890

  1. RI
    Rolf Isermann

    Technische Universität Darmstadt, Germany

    7 publications · 407 citations

    7

    h-index

  2. RJ
    Ron J. Patton

    University of Hull, United Kingdom

    3 publications · 148 citations

    3

    h-index

  3. CL
    C.-C. Liu

    University of Washington, United States

    3 publications · 98 citations

    3

    h-index

  4. MT
    Men‐Shen Tsai

    National Taipei University of Technology, Taiwan

    3 publications · 98 citations

    3

    h-index

  5. BF
    B. Freyermuth

    Technische Universität Darmstadt, Germany

    3 publications · 181 citations

    3

    h-index

1–5 of 890

Venues

  1. IFAC Proceedings Volumes

    8 publications · 209 citations

    8

    h-index

  2. Expert Systems with Applications

    9 publications · 326 citations

    8

    h-index

  3. IEEE Transactions on Power Systems

    7 publications · 348 citations

    7

    h-index

  4. IEEE Transactions on Power Delivery

    7 publications · 503 citations

    7

    h-index

  5. Expert Systems

    6 publications · 220 citations

    6

    h-index

1–5