Hybrid Prognostics

Hybrid Prognostics is a predictive maintenance methodology that integrates data-driven and model-based approaches to jointly leverage empirical observations and physical system knowledge for improved degradation assessment and remaining useful life estimation.

129

Publications

9.4K

Citations

398

Authors

165

Institutions

Publications per year

2017–2026

80

Authors

398

  1. KG
    Kai Goebel

    Ames Research Center, United States

    4 publications · 446 citations

    4

    h-index

  2. NZ
    Noureddine Zerhouni

    Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies, France

    4 publications · 329 citations

    4

    h-index

  3. MP
    Michael Pecht

    University of Maryland, College Park, United States

    4 publications · 229 citations

    4

    h-index

  4. CH
    Cheng‐Geng Huang

    University of Electronic Science and Technology of China, China

    3 publications · 318 citations

    3

    h-index

  5. JX
    Jiuping Xu

    Sichuan University, China

    3 publications · 253 citations

    3

    h-index

1–5 of 398

Venues

  1. IEEE Transactions on Reliability

    5 publications · 2.6K citations

    5

    h-index

  2. IEEE Access

    5 publications · 149 citations

    5

    h-index

  3. Reliability Engineering & System Safety

    5 publications · 444 citations

    5

    h-index

  4. IEEE Transactions on Industrial Electronics

    5 publications · 345 citations

    5

    h-index

  5. Annual Conference of the PHM Society

    Conference · 4 publications · 63 citations

    4

    h-index

1–5