Data-driven Maintenance

Data-Driven Maintenance is a maintenance strategy that belongs to the class of condition-based maintenance approaches, distinguished by its reliance on empirical data and analytical techniques to autonomously inform maintenance decisions without requiring explicit physical models of system degradation.

302

Publications

16.7K

Citations

966

Authors

385

Institutions

Publications per year

2017–2026

197

Authors

966

  1. AS
    Anders Skoogh

    Chalmers University of Technology, Sweden

    6 publications · 571 citations

    6

    h-index

  2. DG
    Diego Galar

    Luleå University of Technology, Sweden

    5 publications · 237 citations

    5

    h-index

  3. FA
    Fazel Ansari

    TU Wien, Austria

    5 publications · 352 citations

    5

    h-index

  4. WS
    Wilfried Sihn

    Fraunhofer Austria, Austria

    4 publications · 144 citations

    4

    h-index

  5. JB
    Jon Bokrantz

    Chalmers University of Technology, Sweden

    4 publications · 480 citations

    4

    h-index

1–5 of 966

Venues

  1. Reliability Engineering & System Safety

    16 publications · 1.1K citations

    14

    h-index

  2. Journal of Quality in Maintenance Engineering

    JQME · 11 publications · 545 citations

    11

    h-index

  3. Procedia CIRP

    9 publications · 296 citations

    9

    h-index

  4. Procedia Manufacturing

    7 publications · 205 citations

    7

    h-index

  5. Computers & Industrial Engineering

    7 publications · 601 citations

    7

    h-index

1–5