Maintenance Data Analytics

Maintenance Data Analytics is a scholarly contribution in the form of a method, model, framework, theory, construct, dataset, task, or metric that belongs to the class of maintenance analytics and specifically focuses on the systematic examination and interpretation of maintenance-related data to derive actionable insights for improving asset reliability, operational efficiency, and decision-making in maintenance management.

79

Publications

3.9K

Citations

258

Authors

106

Institutions

Publications per year

2017–2026

54

Authors

258

  1. CY
    Chunsheng Yang

    National Research Council Canada, Canada

    3 publications · 198 citations

    3

    h-index

  2. RP
    Rune Prytz

    Volvo (Sweden), Sweden

    2 publications · 192 citations

    2

    h-index

  3. DG
    David Golightly

    University of Nottingham, United Kingdom

    2 publications · 48 citations

    2

    h-index

  4. KS
    Konstantinos Stamoulis

    Amsterdam University of Applied Sciences, Netherlands

    2 publications · 31 citations

    2

    h-index

  5. HB
    H. Burak Gunay

    Carleton University, Canada

    2 publications · 131 citations

    2

    h-index

1–5 of 258

Venues

  1. Building Research & Information

    3 publications · 218 citations

    3

    h-index

  2. Procedia CIRP

    3 publications · 89 citations

    3

    h-index

  3. Annual Conference of the PHM Society

    Conference · 2 publications · 42 citations

    2

    h-index

  4. 2

    h-index

  5. Procedia Computer Science

    2 publications · 80 citations

    2

    h-index

1–5