Failure Data Analysis

Failure Data Analysis is a systematic method in the field of dependability engineering that distinguishes itself by quantitatively examining historical failure records to identify patterns, root causes, and reliability characteristics of systems, components, or processes for the purpose of improving functional safety and informing reliability-centered maintenance strategies.

714

Publications

42K

Citations

1.7K

Authors

734

Institutions

Publications per year

2017–2026

161

Authors

1.7K

  1. JS
    Jianguo Sun

    University of Missouri, United States

    16 publications · 375 citations

    12

    h-index

  2. RK
    Ravishankar K. Iyer

    University of Illinois Urbana-Champaign, United States

    9 publications · 446 citations

    9

    h-index

  3. MR
    Michael R. Lyu

    Chinese University of Hong Kong, Hong Kong SAR China

    8 publications · 875 citations

    8

    h-index

  4. HP
    Hoang Pham

    Rutgers, The State University of New Jersey, United States

    7 publications · 481 citations

    7

    h-index

  5. PT
    Panagiotis Tsarouhas

    University of Thessaly, Greece

    7 publications · 196 citations

    7

    h-index

1–5 of 1.7K

Venues

  1. IEEE Transactions on Reliability

    48 publications · 2.2K citations

    26

    h-index

  2. Journal of the American Statistical Association

    18 publications · 3.9K citations

    17

    h-index

  3. 16

    h-index

  4. Reliability Engineering & System Safety

    20 publications · 1.1K citations

    15

    h-index

  5. Statistics in Medicine

    14 publications · 1.4K citations

    14

    h-index

1–5