Physics-based Prognostics

Physics-Based Prognostics is a predictive maintenance methodology that employs fundamental physical laws and engineering principles to model degradation processes and estimate the remaining useful life of a system or component.

93

Publications

7K

Citations

275

Authors

135

Institutions

Publications per year

2017–2026

51

Authors

275

  1. KG
    Kai Goebel

    Ames Research Center, United States

    11 publications · 1K citations

    11

    h-index

  2. MP
    Michael Pecht

    University of Maryland, College Park, United States

    9 publications · 838 citations

    9

    h-index

  3. MD
    Matthew Daigle

    Ames Research Center, United States

    9 publications · 619 citations

    9

    h-index

  4. IJ
    Ian Jennions

    Cranfield University, United Kingdom

    5 publications · 190 citations

    5

    h-index

  5. EZ
    Enrico Zio

    Politecnico di Milano, Italy

    5 publications · 333 citations

    5

    h-index

1–5 of 275

Venues

  1. Reliability Engineering & System Safety

    13 publications · 1.4K citations

    13

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 6 publications · 731 citations

    6

    h-index

  3. Microelectronics Reliability

    3 publications · 170 citations

    3

    h-index

  4. International Journal of Prognostics and Health Management

    IJPHM · 3 publications · 199 citations

    3

    h-index

  5. Annual Conference of the PHM Society

    Conference · 3 publications · 52 citations

    3

    h-index

1–5