Machine Fault Diagnosis

Machine Fault Diagnosis is a systematic analytical process within the domain of mechanical and electrical engineering that identifies and isolates anomalous operating conditions in machinery by distinguishing fault-induced deviations from normal operational behavior through signal processing, modeling, or data-driven techniques.

5.3K

Publications

311.4K

Citations

11K

Authors

1.9K

Institutions

Publications per year

2017–2026

3.1K

Variants

Machine Fault Diagnostics

Authors

11K

  1. JA
    Jose A. Antonino‐Daviu

    Universitat Politècnica de València, Spain

    71 publications · 4.3K citations

    34

    h-index

  2. XC
    Xuefeng Chen

    Xi'an Jiaotong University, China

    44 publications · 4.8K citations

    33

    h-index

  3. YY
    Yu Yang

    Hunan University, China

    44 publications · 4.9K citations

    32

    h-index

  4. GC
    Gérard‐André Capolino

    Université de Picardie Jules Verne, France

    41 publications · 4.5K citations

    31

    h-index

  5. YL
    Yongbo Li

    Northwestern Polytechnical University, China

    39 publications · 2.8K citations

    30

    h-index

1–5 of 11K

Venues

  1. Mechanical Systems and Signal Processing

    MSSP · 368 publications · 42.3K citations

    113

    h-index

  2. IEEE Transactions on Industrial Electronics

    182 publications · 25.9K citations

    89

    h-index

  3. Measurement

    301 publications · 19.8K citations

    78

    h-index

  4. IEEE Transactions on Instrumentation and Measurement

    173 publications · 10.1K citations

    58

    h-index

  5. IEEE Transactions on Industry Applications

    108 publications · 9.6K citations

    58

    h-index

1–5