Automatic Fault Detection Systems

Automatic Fault Detection Systems is a diagnostic framework that autonomously identifies operational anomalies and performance deviations in HVAC systems through continuous data monitoring and analytical algorithms, distinguishing itself from manual or rule-based approaches by its reliance on automated, often model- or data-driven, fault detection logic.

205

Publications

10.7K

Citations

674

Authors

283

Institutions

Publications per year

2017–2026

99

Variants

AfdsAutomated Fault Detection Systems

Authors

674

  1. SK
    Srinivas Katipamula

    Pacific Northwest National Laboratory, United States

    5 publications · 1.3K citations

    5

    h-index

  2. JE
    James E. Braun

    Purdue University West Lafayette, United States

    5 publications · 280 citations

    5

    h-index

  3. MR
    Michael R. Brambley

    Pacific Northwest National Laboratory, United States

    4 publications · 1.3K citations

    4

    h-index

  4. XJ
    Xin Jin

    National Laboratory of the Rockies, United States

    3 publications · 84 citations

    3

    h-index

  5. RG
    Robert G. Pratt

    Mississippi State University, United States

    3 publications · 96 citations

    3

    h-index

1–5 of 674

Venues

  1. Energy and Buildings

    12 publications · 685 citations

    10

    h-index

  2. HVAC&R Research

    8 publications · 1.5K citations

    8

    h-index

  3. IEEE Access

    5 publications · 243 citations

    5

    h-index

  4. Measurement

    4 publications · 184 citations

    4

    h-index

  5. Expert Systems with Applications

    4 publications · 143 citations

    4

    h-index

1–5