Fault Tree Quantification

Fault Tree Quantification is a probabilistic analysis method that, as a member of the fault tree analysis techniques, uniquely determines the likelihood of a top event by mathematically evaluating the logical combinations of basic event failures within a fault tree structure.

207

Publications

10.5K

Citations

511

Authors

241

Institutions

Publications per year

2017–2026

40

Authors

511

  1. JA
    John Andrews

    Loughborough University, United Kingdom

    8 publications · 388 citations

    8

    h-index

  2. AR
    Antoine Rauzy

    Centre National de la Recherche Scientifique, France

    5 publications · 704 citations

    5

    h-index

  3. HR
    Hamid R. Zarandi

    Amirkabir University of Technology, Iran

    5 publications · 112 citations

    5

    h-index

  4. YP
    Yiannis Papadopoulos

    University of Hull, United Kingdom

    4 publications · 195 citations

    4

    h-index

  5. RZ
    Ruoxing Zhang

    Peking University, China

    4 publications · 112 citations

    4

    h-index

1–5 of 511

Venues

  1. Reliability Engineering & System Safety

    36 publications · 2.3K citations

    22

    h-index

  2. IEEE Transactions on Reliability

    22 publications · 665 citations

    16

    h-index

  3. 7

    h-index

  4. Microelectronics Reliability

    6 publications · 235 citations

    6

    h-index

  5. Nuclear Engineering and Design

    6 publications · 373 citations

    6

    h-index

1–5