Early Fault Detection

Early Fault Detection is a methodological framework within failure detection and vibration monitoring that enables the identification of incipient mechanical faults at their initial stages through the systematic analysis of anomalous vibrational patterns, distinguishing it from general fault detection by its emphasis on temporal precocity and sensitivity to subtle deviations in dynamic system behavior.

641

Publications

33.2K

Citations

2.1K

Authors

700

Institutions

Publications per year

2017–2026

397

Authors

2.1K

  1. WM
    Wentao Mao

    Henan Normal University, China

    10 publications · 493 citations

    10

    h-index

  2. XL
    Xihui Liang

    University of Manitoba, Canada

    8 publications · 551 citations

    8

    h-index

  3. MH
    Mark Harman

    University College London, United Kingdom

    7 publications · 2.1K citations

    7

    h-index

  4. FG
    Fengshou Gu

    University of Huddersfield, United Kingdom

    7 publications · 282 citations

    7

    h-index

  5. AG
    Adam Głowacz

    AGH University of Krakow, Poland

    6 publications · 294 citations

    6

    h-index

1–5 of 2.1K

Venues

  1. 21

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 22 publications · 2.3K citations

    20

    h-index

  3. Measurement

    18 publications · 839 citations

    17

    h-index

  4. Sensors

    22 publications · 903 citations

    16

    h-index

  5. IEEE Sensors Journal

    13 publications · 493 citations

    13

    h-index

1–5