Active Suspension Diagnostics

Active Suspension Diagnostics is a diagnostic framework that systematically identifies, analyzes, and evaluates faults and performance deviations in active suspension systems through real-time monitoring, integrated sensor data, and control algorithm feedback, distinguishing it from conventional suspension diagnostics by its reliance on adaptive control mechanisms and dynamic response modeling.

2

Publications

33

Citations

5

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

5

  1. ZM
    Zehui Mao

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 22 citations

    1

    h-index

  2. GT
    Gang Tao

    University of Virginia, United States

    1 publications · 22 citations

    1

    h-index

  3. KA
    Kenneth A. Marko

    University of Michigan, United States

    1 publications · 11 citations

    1

    h-index

  4. YW
    Yue Wang

    Qingdao University, China

    1 publications · 22 citations

    1

    h-index

  5. BJ
    Bin Jiang

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 22 citations

    1

    h-index

1–5 of 5

Institutions

3

  1. University of Virginia

    Charlottesville, United States

    1 h-index

    1 publications

    22 citations

  2. Nanjing University of Aeronautics and Astronautics

    Nanjing, China

    1 h-index

    3 publications

    66 citations

  3. Ford Motor Company (United States)

    Dearborn, United States

    1 h-index

    1 publications

    11 citations

1–3 of 3

Venues

  1. 1

    h-index

1–1