Model-based Fault Diagnosis

Model-Based Fault Diagnosis is a diagnostic methodology that belongs to the class of fault detection and isolation techniques, distinguished by its reliance on a formal mathematical model of the system under scrutiny to generate residuals or analytical redundancies for identifying and isolating faults.

1.2K

Publications

59.5K

Citations

2.9K

Authors

928

Institutions

Publications per year

2017–2026

357

Authors

2.9K

  1. GB
    Gautam Biswas

    Vanderbilt University, United States

    18 publications · 577 citations

    16

    h-index

  2. RI
    Rolf Isermann

    Technische Universität Darmstadt, Germany

    20 publications · 4.9K citations

    16

    h-index

  3. EF
    Erik Frisk

    Linköping University, Sweden

    19 publications · 870 citations

    15

    h-index

  4. MK
    Mattias Krysander

    Linköping University, Sweden

    15 publications · 994 citations

    14

    h-index

  5. LT
    Louise Travé-Massuyès

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    15 publications · 724 citations

    13

    h-index

1–5 of 2.9K

Venues

  1. IFAC Proceedings Volumes

    47 publications · 3.2K citations

    22

    h-index

  2. IEEE Transactions on Control Systems Technology

    22 publications · 2.3K citations

    20

    h-index

  3. IEEE Transactions on Industrial Electronics

    19 publications · 2.8K citations

    19

    h-index

  4. Control Engineering Practice

    19 publications · 2.2K citations

    17

    h-index

  5. 17

    h-index

1–5