Markov Fault Models

Markov Fault Models is a stochastic fault modeling framework that characterizes system failure behaviors using Markov processes to represent state transitions among fault conditions over time.

142

Publications

4.7K

Citations

341

Authors

179

Institutions

Publications per year

2017–2026

24

Authors

341

  1. JD
    J.B. Dugan

    University of Virginia, United States

    6 publications · 257 citations

    6

    h-index

  2. LC
    Lirong Cui

    Beijing Institute of Technology, China

    4 publications · 198 citations

    4

    h-index

  3. PS
    Perwez Shahabuddin

    Columbia University, United States

    3 publications · 151 citations

    3

    h-index

  4. JA
    Juan A. Carrasco

    Universitat Politècnica de Catalunya, Spain

    3 publications · 48 citations

    3

    h-index

  5. YL
    Yeh Lam

    University of Hong Kong, Hong Kong SAR China

    3 publications · 62 citations

    3

    h-index

1–5 of 341

Venues

  1. IEEE Transactions on Reliability

    24 publications · 990 citations

    17

    h-index

  2. Reliability Engineering & System Safety

    15 publications · 832 citations

    13

    h-index

  3. European Journal of Operational Research

    4 publications · 115 citations

    4

    h-index

  4. IEEE Transactions on Computers

    4 publications · 160 citations

    4

    h-index

  5. IEEE Transactions on Power Delivery

    2 publications · 69 citations

    2

    h-index

1–5