Predictive Maintenance

Predictive Maintenance is a maintenance strategy that belongs to the broader class of maintenance engineering practices, distinguished by its reliance on predictive analytics and real-time data from automated systems—particularly in domains such as mine automation—to forecast equipment failures and schedule interventions proactively based on actual operational conditions rather than fixed time intervals.

3.9K

Publications

233.4K

Citations

10.4K

Authors

2.4K

Institutions

Publications per year

2017–2026

2.6K

Authors

10.4K

  1. EZ
    Enrico Zio

    Politecnico di Milano, Italy

    38 publications · 2.7K citations

    23

    h-index

  2. YL
    Yaguo Lei

    Xi'an Jiaotong University, China

    26 publications · 6.5K citations

    23

    h-index

  3. JL
    Jay Lee

    University of Cincinnati, United States

    31 publications · 5.2K citations

    21

    h-index

  4. NG
    Nagi Gebraeel

    Georgia Institute of Technology, United States

    22 publications · 2.8K citations

    20

    h-index

  5. NL
    Naipeng Li

    Xi'an Jiaotong University, China

    21 publications · 6.3K citations

    19

    h-index

1–5 of 10.4K

Venues

  1. Reliability Engineering & System Safety

    208 publications · 18K citations

    75

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 65 publications · 10.9K citations

    46

    h-index

  3. IEEE Transactions on Reliability

    71 publications · 8.4K citations

    42

    h-index

  4. IEEE Transactions on Industrial Informatics

    47 publications · 7.9K citations

    39

    h-index

  5. 38

    h-index

1–5