Equipment State Estimation

Equipment State Estimation is a computational method within the domain of remote equipment control that determines the current operational condition of a physical system by synthesizing sensor measurements, dynamic models, and contextual constraints to infer unobservable or partially observable states.

25

Publications

561

Citations

75

Authors

40

Institutions

Publications per year

2017–2026

7

Authors

75

  1. AI
    Alexandra I. Khalyasmaa

    Ural Federal University, Russia

    3 publications · 43 citations

    3

    h-index

  2. SA
    Stepan A. Dmitriev

    Ural Federal University, Russia

    3 publications · 43 citations

    3

    h-index

  3. HW
    Hui–Yuan Wang

    Jilin University, China

    1 publications · 27 citations

    1

    h-index

  4. YL
    Y L Zhukovskiy

    Saint Petersburg Mining University, Russia

    1 publications · 13 citations

    1

    h-index

  5. HS
    Hongbin Sun

    Tsinghua University, China

    1 publications · 20 citations

    1

    h-index

1–5 of 75

Venues

  1. 3

    h-index

  2. 2

    h-index

  3. Expert Systems with Applications

    2 publications · 46 citations

    2

    h-index

  4. PeerJ Computer Science

    1 publications · 53 citations

    1

    h-index

  5. 1

    h-index

1–5