Equipment Condition Monitoring

Equipment Condition Monitoring is a systematic process within sensor networks for mining that involves the continuous acquisition and analysis of operational data from mining equipment to assess its health and performance status in real time, distinguishing it from general maintenance practices through its reliance on embedded sensors and predictive analytics for early fault detection and degradation assessment.

833

Publications

33.8K

Citations

2.4K

Authors

767

Institutions

Publications per year

2017–2026

400

Authors

2.4K

  1. EJ
    Erkki Jantunen

    VTT Technical Research Centre of Finland, Finland

    6 publications · 81 citations

    6

    h-index

  2. KM
    Kamal Medjaher

    Centre National de la Recherche Scientifique, France

    5 publications · 139 citations

    5

    h-index

  3. GS
    Geok Soon Hong

    National University of Singapore, Singapore

    5 publications · 168 citations

    5

    h-index

  4. JC
    Jinglong Chen

    Xi'an Jiaotong University, China

    5 publications · 184 citations

    5

    h-index

  5. RB
    Ratna Babu Chinnam

    Wayne State University, United States

    5 publications · 537 citations

    5

    h-index

1–5 of 2.4K

Venues

  1. 22

    h-index

  2. Sensors

    19 publications · 778 citations

    18

    h-index

  3. Energies

    16 publications · 1.2K citations

    14

    h-index

  4. Applied Sciences

    14 publications · 441 citations

    13

    h-index

  5. Journal of Intelligent Manufacturing

    11 publications · 1.5K citations

    13

    h-index

1–5