Signal Processing For Condition Monitoring

Signal Processing for Condition Monitoring is a methodological framework within the field of condition-based maintenance that systematically transforms raw sensor data into diagnostic features through mathematical and statistical techniques to enable the identification of equipment degradation patterns.

373

Publications

16.4K

Citations

1.1K

Authors

429

Institutions

Publications per year

2017–2026

187

Authors

1.1K

  1. RZ
    Radosław Zimroz

    Wrocław University of Science and Technology, Poland

    11 publications · 438 citations

    11

    h-index

  2. FP
    Fausto Pedro Garcı́a Márquez

    University of Castilla-La Mancha, Spain

    5 publications · 246 citations

    6

    h-index

  3. RT
    Roberto Teti

    University of Naples Federico II, Italy

    5 publications · 133 citations

    5

    h-index

  4. JC
    Jinglong Chen

    Xi'an Jiaotong University, China

    5 publications · 193 citations

    5

    h-index

  5. AW
    Agnieszka Wyłomańska

    Wrocław University of Science and Technology, Poland

    5 publications · 135 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Mechanical Systems and Signal Processing

    MSSP · 19 publications · 1.4K citations

    19

    h-index

  2. Sensors

    14 publications · 434 citations

    13

    h-index

  3. Measurement

    11 publications · 769 citations

    11

    h-index

  4. IEEE Transactions on Power Delivery

    10 publications · 866 citations

    10

    h-index

  5. 9

    h-index

1–5