Probabilistic Fault Modeling

Probabilistic Fault Modeling is a fault modeling approach that characterizes the likelihood and impact of faults using probabilistic distributions, distinguishing itself from deterministic methods by incorporating uncertainty and statistical behavior in fault occurrence and propagation.

433

Publications

19.9K

Citations

1.2K

Authors

527

Institutions

Publications per year

2017–2026

111

Variants

Probabilistic Fault Modelling

Authors

1.2K

  1. FK
    Faisal Khan

    Memorial University of Newfoundland, Canada

    6 publications · 456 citations

    6

    h-index

  2. CZ
    Chunhui Zhao

    State Key Laboratory of Industrial Control Technology

    6 publications · 192 citations

    6

    h-index

  3. AS
    Adarshpal S. Sethi

    University of Delaware, United States

    5 publications · 369 citations

    5

    h-index

  4. OJ
    Ole J. Mengshoel

    Carnegie Mellon University, United States

    5 publications · 146 citations

    5

    h-index

  5. VM
    Viliam Makiš

    University of Toronto, Canada

    4 publications · 213 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. Reliability Engineering & System Safety

    20 publications · 1.7K citations

    17

    h-index

  2. IEEE Transactions on Reliability

    14 publications · 516 citations

    12

    h-index

  3. IEEE Transactions on Computers

    13 publications · 972 citations

    11

    h-index

  4. 7

    h-index

  5. Process Safety and Environmental Protection

    6 publications · 259 citations

    6

    h-index

1–5