Minimal Cut Set Analysis

Minimal Cut Set Analysis is a fault tree analysis method that identifies the smallest combinations of basic events whose simultaneous occurrence guarantees the occurrence of the top event, thereby distinguishing it from other cut set analyses by its minimality and non-redundancy constraints.

142

Publications

4.9K

Citations

316

Authors

174

Institutions

Publications per year

2017–2026

34

Variants

Mcsa

Authors

316

  1. SK
    Steffen Klamt

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    9 publications · 839 citations

    9

    h-index

  2. RB
    R. Billinton

    University of Saskatchewan, Canada

    7 publications · 270 citations

    7

    h-index

  3. CJ
    Christian Jungreuthmayer

    Austrian Centre of Industrial Biotechnology (Austria), Austria

    5 publications · 95 citations

    5

    h-index

  4. JZ
    Jürgen Zanghellini

    Austrian Centre of Industrial Biotechnology (Austria), Austria

    5 publications · 95 citations

    5

    h-index

  5. JA
    John Andrews

    Loughborough University, United Kingdom

    4 publications · 219 citations

    4

    h-index

1–5 of 316

Venues

  1. IEEE Transactions on Reliability

    23 publications · 866 citations

    15

    h-index

  2. Bioinformatics

    9 publications · 505 citations

    9

    h-index

  3. Reliability Engineering & System Safety

    8 publications · 216 citations

    8

    h-index

  4. 4

    h-index

  5. 3

    h-index

1–5