Machine Performance Analysis

Machine Performance Analysis is a systematic academic framework that evaluates the operational efficiency, productivity, and reliability of industrial machinery by quantifying performance metrics such as availability, utilization, and output quality relative to designed capacity and operational benchmarks.

716

Publications

36.3K

Citations

2K

Authors

627

Institutions

Publications per year

2017–2026

229

Authors

2K

  1. ZQ
    Z. Q. Zhu

    University of Sheffield, United Kingdom

    20 publications · 934 citations

    18

    h-index

  2. NB
    Nicola Bianchi

    University of Padua, Italy

    14 publications · 910 citations

    14

    h-index

  3. SM
    Semyon M. Meerkov

    University of Michigan, United States

    11 publications · 748 citations

    10

    h-index

  4. CG
    Chris Gerada

    University of Nottingham, United Kingdom

    9 publications · 335 citations

    9

    h-index

  5. TL
    T.Α. Lipo

    University of Wisconsin–Madison, United States

    8 publications · 860 citations

    8

    h-index

1–5 of 2K

Venues

  1. IEEE Transactions on Industry Applications

    42 publications · 3.6K citations

    30

    h-index

  2. IEEE Transactions on Energy Conversion

    37 publications · 2.5K citations

    27

    h-index

  3. IEEE Transactions on Magnetics

    35 publications · 1.6K citations

    22

    h-index

  4. IEEE Transactions on Industrial Electronics

    14 publications · 1.2K citations

    14

    h-index

  5. International Journal of Production Research

    15 publications · 504 citations

    13

    h-index

1–5