Signal Processing For Monitoring

Signal Processing for Monitoring is a systematic method within the field of production surveillance that transforms raw sensory data into analyzable signals to enable real-time condition assessment and fault detection in manufacturing processes.

167

Publications

6.2K

Citations

535

Authors

239

Institutions

Publications per year

2017–2026

61

Authors

535

  1. RT
    Roberto Teti

    University of Naples Federico II, Italy

    6 publications · 174 citations

    6

    h-index

  2. PR
    Paulo Roberto de Aguiar

    Universidade Estadual Paulista (Unesp), Brazil

    5 publications · 159 citations

    5

    h-index

  3. XY
    Xuefeng Yan

    East China University of Science and Technology, China

    5 publications · 143 citations

    5

    h-index

  4. EC
    Eduardo Carlos Bianchi

    Universidade Estadual Paulista (Unesp), Brazil

    5 publications · 159 citations

    5

    h-index

  5. TS
    Tiziana Segreto

    University of Naples Federico II, Italy

    4 publications · 116 citations

    4

    h-index

1–5 of 535

Venues

  1. Procedia CIRP

    9 publications · 213 citations

    9

    h-index

  2. 6

    h-index

  3. Industrial & Engineering Chemistry Research

    5 publications · 196 citations

    5

    h-index

  4. 5

    h-index

  5. Sensors

    4 publications · 89 citations

    4

    h-index

1–5