Residual-based Fault Detection

Residual-Based Fault Detection is a diagnostic method in HVAC system analysis that belongs to the class of model-based fault detection techniques, differentiating itself by identifying faults through the analysis of residuals generated from discrepancies between measured system outputs and those predicted by a mathematical model of normal operation.

180

Publications

10.1K

Citations

456

Authors

234

Institutions

Publications per year

2017–2026

67

Authors

456

  1. SX
    Steven X. Ding

    University of Duisburg-Essen, Germany

    9 publications · 576 citations

    9

    h-index

  2. EF
    Erik Frisk

    Linköping University, Sweden

    6 publications · 229 citations

    6

    h-index

  3. PF
    P.M. Frank

    University of Duisburg-Essen, Germany

    5 publications · 1.6K citations

    5

    h-index

  4. MN
    Mattias Nyberg

    Linköping University, Sweden

    5 publications · 230 citations

    5

    h-index

  5. MZ
    Maiying Zhong

    Shandong University of Science and Technology, China

    4 publications · 388 citations

    4

    h-index

1–5 of 456

Venues

  1. IEEE Transactions on Automatic Control

    7 publications · 405 citations

    7

    h-index

  2. IFAC Proceedings Volumes

    7 publications · 235 citations

    7

    h-index

  3. International Journal of Control

    7 publications · 538 citations

    7

    h-index

  4. IEEE Transactions on Power Systems

    5 publications · 298 citations

    5

    h-index

  5. IFAC-PapersOnLine

    5 publications · 60 citations

    5

    h-index

1–5