Uncertainty Quantification In Diagnostics

Uncertainty Quantification in Diagnostics is a formal methodology within diagnostic systems engineering that characterizes and propagates uncertainty arising from measurement noise, model inaccuracies, and operational variability to assess the reliability and confidence of diagnostic outcomes in powertrain systems.

15

Publications

541

Citations

62

Authors

32

Institutions

Publications per year

2017–2026

9

Authors

62

  1. AB
    Adham Beykikhoshk

    Deakin University, Australia

    1 publications · 40 citations

    1

    h-index

  2. HL
    Hao Li

    Beihang University, China

    1 publications · 39 citations

    1

    h-index

  3. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    1 publications · 40 citations

    1

    h-index

  4. AK
    Abbas Khosravi

    Deakin University, Australia

    1 publications · 40 citations

    1

    h-index

  5. SL
    Sifan Li

    National University of Singapore, Singapore

    1 publications · 26 citations

    1

    h-index

1–5 of 62

Venues

  1. Measurement

    2 publications · 36 citations

    2

    h-index

  2. 1

    h-index

  3. Reliability Engineering & System Safety

    1 publications · 39 citations

    1

    h-index

  4. Aerospace Science and Technology

    AST · 1 publications · 45 citations

    1

    h-index

  5. International Journal of General Systems

    1 publications · 20 citations

    1

    h-index

1–5