Model Residual Generation

Model Residual Generation is a diagnostic method in fault isolation that generates residual signals by comparing the actual system outputs with those predicted by a mathematical model, wherein the residuals reflect discrepancies indicative of faults.

131

Publications

5.3K

Citations

297

Authors

154

Institutions

Publications per year

2017–2026

19

Authors

297

  1. EF
    Erik Frisk

    Linköping University, Sweden

    9 publications · 357 citations

    9

    h-index

  2. MN
    Mattias Nyberg

    Linköping University, Sweden

    7 publications · 315 citations

    7

    h-index

  3. MK
    Michel Kinnaert

    Université Libre de Bruxelles, Belgium

    6 publications · 165 citations

    6

    h-index

  4. CS
    Carl Svärd

    Linköping University, Sweden

    4 publications · 134 citations

    5

    h-index

  5. SX
    Steven X. Ding

    University of Duisburg-Essen, Germany

    5 publications · 155 citations

    5

    h-index

1–5 of 297

Venues

  1. IFAC Proceedings Volumes

    10 publications · 315 citations

    10

    h-index

  2. Automatica

    7 publications · 923 citations

    7

    h-index

  3. International Journal of Control

    6 publications · 494 citations

    6

    h-index

  4. IEEE Transactions on Automatic Control

    5 publications · 212 citations

    5

    h-index

  5. International Journal of Systems Science

    3 publications · 112 citations

    3

    h-index

1–5