Probabilistic Reliability Analysis

Probabilistic Reliability Analysis is a reliability assessment framework that employs probabilistic models to quantify the likelihood of power system performance within specified reliability criteria, distinguishing itself from deterministic approaches by explicitly incorporating uncertainties in component failures, load variations, and system operating conditions.

2.7K

Publications

136K

Citations

5.9K

Authors

1.8K

Institutions

Publications per year

2017–2026

883

Authors

5.9K

  1. RB
    R. Billinton

    University of Saskatchewan, Canada

    53 publications · 6.7K citations

    33

    h-index

  2. CS
    Chanan Singh

    Texas A&M University, United States

    26 publications · 4.1K citations

    19

    h-index

  3. RA
    R.N. Allan

    University of Manchester, United Kingdom

    15 publications · 5.1K citations

    15

    h-index

  4. MF
    Mahmud Fotuhi‐Firuzabad

    Sharif University of Technology, Iran

    15 publications · 1.2K citations

    14

    h-index

  5. XD
    Xiaoping Du

    Missouri University of Science and Technology, United States

    13 publications · 1.1K citations

    13

    h-index

1–5 of 5.9K

Venues

  1. Reliability Engineering & System Safety

    231 publications · 12.6K citations

    58

    h-index

  2. IEEE Transactions on Power Systems

    119 publications · 11K citations

    52

    h-index

  3. IEEE Transactions on Reliability

    101 publications · 4.6K citations

    38

    h-index

  4. Structural Safety

    52 publications · 4.1K citations

    33

    h-index

  5. Applied Mathematical Modelling

    39 publications · 1.7K citations

    27

    h-index

1–5