Bayesian Reliability Updating

Bayesian Reliability Updating is a reliability assessment method that integrates prior reliability information with observed data through Bayes' theorem to refine the probability distribution of system performance and produce a posterior estimate of reliability.

114

Publications

5.8K

Citations

316

Authors

170

Institutions

Publications per year

2017–2026

49

Authors

316

  1. DS
    Dániel Straub

    Technical University of Munich, Germany

    9 publications · 942 citations

    9

    h-index

  2. IP
    Iason Papaioannou

    Technical University of Munich, Germany

    4 publications · 520 citations

    4

    h-index

  3. MB
    Michael Beer

    University of Liverpool, United Kingdom

    4 publications · 203 citations

    4

    h-index

  4. SJ
    Shui‐Hua Jiang

    Nanchang University, China

    4 publications · 213 citations

    4

    h-index

  5. SA
    Siu‐Kui Au

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 1K citations

    3

    h-index

1–5 of 316

Venues

  1. Reliability Engineering & System Safety

    11 publications · 454 citations

    11

    h-index

  2. Engineering Structures

    7 publications · 412 citations

    7

    h-index

  3. Journal of Engineering Mechanics

    6 publications · 1.5K citations

    6

    h-index

  4. IEEE Transactions on Reliability

    6 publications · 326 citations

    6

    h-index

  5. Structural Safety

    6 publications · 523 citations

    6

    h-index

1–5