Common Cause Failure Analysis

Common Cause Failure Analysis is a systematic analytical method used in dependability engineering to identify, model, and quantify the likelihood of multiple components failing simultaneously due to shared underlying causes, distinguishing it from independent failure analyses by explicitly accounting for causal dependencies arising from design, operational, or environmental factors.

195

Publications

6.7K

Citations

367

Authors

167

Institutions

Publications per year

2017–2026

48

Authors

367

  1. LX
    Liudong Xing

    University of Massachusetts Dartmouth, United States

    15 publications · 716 citations

    15

    h-index

  2. BD
    B.S. Dhillon

    University of Ottawa, Canada

    12 publications · 248 citations

    11

    h-index

  3. AM
    Ali Mosleh

    University of Maryland, College Park, United States

    9 publications · 403 citations

    9

    h-index

  4. JV
    J.K. Vaurio

    Teollisuuden Voima (Finland), Finland

    8 publications · 341 citations

    8

    h-index

  5. WK
    Who Keé Chung

    University of Ottawa, Canada

    7 publications · 148 citations

    7

    h-index

1–5 of 367

Venues

  1. Reliability Engineering & System Safety

    47 publications · 2.1K citations

    29

    h-index

  2. IEEE Transactions on Reliability

    22 publications · 830 citations

    16

    h-index

  3. Microelectronics Reliability

    20 publications · 403 citations

    15

    h-index

  4. Nuclear Engineering and Design

    6 publications · 257 citations

    6

    h-index

  5. Reliability Engineering

    6 publications · 162 citations

    6

    h-index

1–5