Signal-based Diagnostics

Signal-Based Diagnostics is a diagnostic method that identifies actuator faults by analyzing temporal or spectral characteristics of system signals, distinguishing itself from model-based or knowledge-based approaches through its reliance on empirical signal measurements rather than explicit system models or heuristic rules.

95

Publications

4.1K

Citations

304

Authors

154

Institutions

Publications per year

2017–2026

33

Authors

304

  1. AC
    Andréa Cozza

    Laboratoire de Génie Électrique et Électronique de Paris, France

    3 publications · 138 citations

    3

    h-index

  2. LP
    Lionel Pichon

    Laboratoire de Génie Électrique et Électronique de Paris, France

    3 publications · 138 citations

    3

    h-index

  3. JC
    Jacob Crossman

    University of Michigan–Dearborn, United States

    3 publications · 205 citations

    3

    h-index

  4. YL
    Yi Lu Murphey

    University of Michigan–Dearborn, United States

    3 publications · 205 citations

    3

    h-index

  5. MT
    Mohamed Trabelsi

    Laboratoire d’Informatique et Systèmes, France

    2 publications · 64 citations

    2

    h-index

1–5 of 304

Venues

  1. 7

    h-index

  2. IEEE Transactions on Vehicular Technology

    3 publications · 205 citations

    3

    h-index

  3. Mechanical Systems and Signal Processing

    MSSP · 3 publications · 373 citations

    3

    h-index

  4. Applied Surface Science

    2 publications · 54 citations

    2

    h-index

  5. IEEE Sensors Journal

    2 publications · 171 citations

    2

    h-index

1–5