Quantitative Fault Tree Analysis

Quantitative Fault Tree Analysis is a predictive probabilistic risk assessment method that distinguishes itself from qualitative approaches by assigning numerical failure probabilities to basic events and propagating them through logical gates to compute the likelihood of the top event occurrence.

125

Publications

6.4K

Citations

337

Authors

163

Institutions

Publications per year

2017–2026

38

Variants

Qfta

Authors

337

  1. JA
    John Andrews

    Loughborough University, United Kingdom

    5 publications · 162 citations

    5

    h-index

  2. JH
    Julwan Hendry Purba

    National Nuclear Energy Agency of Indonesia, Indonesia

    4 publications · 192 citations

    4

    h-index

  3. MK
    Mohit Kumar

    Indian Institute of Technology Roorkee, India

    4 publications · 172 citations

    4

    h-index

  4. SK
    Sohag Kabir

    University of Bradford, United Kingdom

    3 publications · 311 citations

    3

    h-index

  5. AR
    Antoine Rauzy

    Centre National de la Recherche Scientifique, France

    3 publications · 201 citations

    3

    h-index

1–5 of 337

Venues

  1. Reliability Engineering & System Safety

    17 publications · 800 citations

    14

    h-index

  2. 6

    h-index

  3. Microelectronics Reliability

    5 publications · 589 citations

    5

    h-index

  4. Ocean Engineering

    5 publications · 235 citations

    5

    h-index

  5. 4

    h-index

1–5