Ventilation Fault Detection

Ventilation Fault Detection is a diagnostic methodology that identifies deviations from normal operational behavior in ventilation systems by distinguishing between expected performance patterns and anomalous conditions indicative of faults.

27

Publications

1K

Citations

99

Authors

40

Institutions

Publications per year

2017–2026

20

Authors

99

  1. HR
    Hamid Reza Shaker

    University of Southern Denmark, Denmark

    4 publications · 136 citations

    4

    h-index

  2. MJ
    Muhyiddine Jradi

    University of Southern Denmark, Denmark

    4 publications · 136 citations

    4

    h-index

  3. YG
    Ying Guo

    Commonwealth Scientific and Industrial Research Organisation, Australia

    3 publications · 90 citations

    3

    h-index

  4. SS
    Sebastian Skals Engelsgaard

    Maersk (Denmark), Denmark

    3 publications · 80 citations

    3

    h-index

  5. MR
    Mathis Riber Skydt

    University of Southern Denmark, Denmark

    3 publications · 80 citations

    3

    h-index

1–5 of 99

Venues

  1. Journal of Building Engineering

    5 publications · 198 citations

    5

    h-index

  2. Advanced Engineering Informatics

    2 publications · 66 citations

    2

    h-index

  3. 2

    h-index

  4. Building and Environment

    2 publications · 66 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 71 citations

    2

    h-index

1–5