Predictive Asset Analytics

Predictive Asset Analytics is a computational method within asset information systems that leverages historical and real-time data to forecast asset performance, degradation, or failure by employing statistical modeling and machine learning techniques, thereby enabling proactive maintenance and decision-making.

8

Publications

283

Citations

31

Authors

13

Institutions

Publications per year

2017–2026

6

Authors

31

  1. MM
    Mehrshad Motahari

    University of Warwick, United Kingdom

    2 publications · 84 citations

    2

    h-index

  2. SM
    Söhnke M. Bartram

    University of Warwick, United Kingdom

    2 publications · 84 citations

    2

    h-index

  3. JB
    Jürgen Branke

    University of Warwick, United Kingdom

    2 publications · 84 citations

    2

    h-index

  4. AM
    Abhishek Mitra

    The University of Texas Medical Branch at Galveston, United States

    1 publications · 29 citations

    1

    h-index

  5. SD
    Sunil D. Patil

    Sandvik (Sweden), Sweden

    1 publications · 29 citations

    1

    h-index

1–5 of 31

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 84 citations

    2

    h-index

  2. OPSEARCH

    1 publications · 29 citations

    1

    h-index

  3. Journal of Global Optimization

    1 publications · 65 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 15 citations

    1

    h-index

  5. Financial Innovation

    1 publications · 22 citations

    1

    h-index

1–5