Real-time Fault Detection

Real-Time Fault Detection is a fault detection methodology that enables the immediate identification and localization of anomalies or failures in a system as they occur, distinguished from batch or delayed detection approaches by its requirement for continuous monitoring and sub-second response latency to support time-critical decision-making.

407

Publications

18.6K

Citations

1.2K

Authors

444

Institutions

Publications per year

2017–2026

196

Authors

1.2K

  1. KR
    Krishna R. Pattipati

    University of Connecticut, United States

    6 publications · 165 citations

    6

    h-index

  2. FB
    Flávio B. Costa

    Universidade Federal do Rio Grande do Norte, Brazil

    5 publications · 262 citations

    5

    h-index

  3. HA
    Hamid A. Toliyat

    Texas A&M University, United States

    5 publications · 254 citations

    5

    h-index

  4. MK
    Mladen Kezunović

    Texas A&M University, United States

    4 publications · 137 citations

    4

    h-index

  5. AK
    Amar Kumar Verma

    Birla Institute of Technology and Science, Pilani, India

    3 publications · 248 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. IEEE Transactions on Industrial Electronics

    12 publications · 3K citations

    13

    h-index

  2. Sensors

    9 publications · 526 citations

    12

    h-index

  3. IEEE Transactions on Power Delivery

    11 publications · 1.2K citations

    11

    h-index

  4. IEEE Access

    9 publications · 301 citations

    9

    h-index

  5. 5

    h-index

1–5