Predictive Alarm Analytics

Predictive Alarm Analytics is a computational methodology within alarm management that employs advanced data analytics and machine learning techniques to forecast potential alarm floods and abnormal situations before they occur, thereby enabling proactive operational responses.

5

Publications

362

Citations

14

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

14

  1. GM
    Gary M. Weiss

    Fordham University, United States

    2 publications · 277 citations

    2

    h-index

  2. DH
    Dejana Herceg

    University of Novi Sad, Serbia

    1 publications · 39 citations

    1

    h-index

  3. HL
    Hongfei Li

    IBM (United States), United States

    1 publications · 19 citations

    1

    h-index

  4. NP
    Nicola Paltrinieri

    Norwegian University of Science and Technology, Norway

    1 publications · 27 citations

    1

    h-index

  5. VC
    Valerio Cozzani

    University of Bologna, Italy

    1 publications · 27 citations

    1

    h-index

1–5 of 14

Venues

  1. Electronics

    1 publications · 39 citations

    1

    h-index

  2. Computers & Chemical Engineering

    1 publications · 27 citations

    1

    h-index

1–3