State Estimation For Diagnostics

State Estimation for Diagnostics is a methodological framework within hybrid system diagnostics that enables the reconstruction of internal system states from observable inputs and outputs, specifically tailored to detect, isolate, and identify faults by distinguishing normal from anomalous behavioral regimes.

40

Publications

1.2K

Citations

135

Authors

65

Institutions

Publications per year

2017–2026

4

Authors

135

  1. KR
    Krishna R. Pattipati

    University of Connecticut, United States

    2 publications · 109 citations

    2

    h-index

  2. FB
    Francesco Basile

    University of Salerno, Italy

    2 publications · 149 citations

    2

    h-index

  3. AP
    A. Patterson-Hine

    Ames Research Center, United States

    1 publications · 99 citations

    1

    h-index

  4. SK
    S. Komada

    National Institute for Fusion Science, Japan

    1 publications · 23 citations

    1

    h-index

  5. SD
    Soumen De

    University of Calcutta, India

    1 publications · 10 citations

    1

    h-index

1–5 of 135

Venues

  1. IFAC Proceedings Volumes

    3 publications · 66 citations

    3

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. International Journal of Critical Infrastructures

    IJCIS · 1 publications · 17 citations

    1

    h-index

1–5