Sensor Fusion For Diagnostics

Sensor Fusion for Diagnostics is a diagnostic methodology that integrates data from multiple heterogeneous sensors through advanced signal processing and probabilistic inference techniques to enhance fault detection accuracy and isolation reliability in wiring harness systems.

150

Publications

8.6K

Citations

598

Authors

187

Institutions

Publications per year

2017–2026

99

Authors

598

  1. YF
    Yuan Fu

    Chongqing University of Technology, China

    3 publications · 78 citations

    3

    h-index

  2. SM
    Suliang Ma

    Beihang University, China

    2 publications · 89 citations

    2

    h-index

  3. JW
    Jianwen Wu

    Beihang University, China

    2 publications · 89 citations

    2

    h-index

  4. ÉL
    Éric Lefèvre

    Université d'Artois, France

    2 publications · 103 citations

    2

    h-index

  5. SK
    S. K. Kurtz

    Pennsylvania State University, United States

    2 publications · 71 citations

    2

    h-index

1–5 of 598

Venues

  1. Sensors

    8 publications · 793 citations

    8

    h-index

  2. Measurement

    8 publications · 455 citations

    8

    h-index

  3. 7

    h-index

  4. Applied Sciences

    6 publications · 159 citations

    6

    h-index

  5. Information Fusion

    7 publications · 830 citations

    6

    h-index

1–5