Predictive Maintenance Diagnostics

Predictive Maintenance Diagnostics is a diagnostic methodology that employs data-driven models and real-time monitoring to forecast system degradation and failure in electrical and HVAC systems before they occur, distinguishing itself from reactive and preventive approaches through its reliance on predictive analytics and condition-based decision-making.

66

Publications

3.3K

Citations

246

Authors

122

Institutions

Publications per year

2017–2026

39

Authors

246

  1. EW
    E. Wiedenbrug

    Korea University, South Korea

    4 publications · 103 citations

    4

    h-index

  2. GF
    Gary Frey

    Baker Engineering (United States), United States

    2 publications · 55 citations

    2

    h-index

  3. TT
    Tomáš Tichý

    Czech Technical University in Prague, Czechia

    2 publications · 51 citations

    2

    h-index

  4. JP
    John P. Wilson

    University of Delaware, United States

    2 publications · 55 citations

    2

    h-index

  5. PR
    Pablo Rodrigues Muniz

    Instituto Federal do Espírito Santo, Brazil

    2 publications · 82 citations

    2

    h-index

1–5 of 246

Venues

  1. IEEE Transactions on Industry Applications

    3 publications · 170 citations

    3

    h-index

  2. 2

    h-index

  3. Materials Today Proceedings

    2 publications · 132 citations

    2

    h-index

  4. Applied Sciences

    2 publications · 38 citations

    2

    h-index

  5. 1

    h-index

1–5