Batch Data Reconciliation

Batch Data Reconciliation is a systematic computational method used in batch process systems to refine measured process data by minimizing measurement errors and enforcing material and energy balance constraints specific to discrete production batches.

11

Publications

268

Citations

33

Authors

16

Institutions

Publications per year

2017–2026

3

Authors

33

  1. FC
    Fernando Cunha Peixoto

    Universidade Federal Fluminense, Brazil

    1 publications · 29 citations

    1

    h-index

  2. ZZ
    Zhengjiang Zhang

    Wenzhou University, China

    1 publications · 20 citations

    1

    h-index

  3. LR
    Luiz Rogério Pinho de Andrade Lima

    Universidade Federal da Bahia, Brazil

    1 publications · 20 citations

    1

    h-index

  4. ÉP
    Éric Poulin

    St. Michael's Hospital, Canada

    1 publications · 23 citations

    1

    h-index

  5. BL
    Bo Li

    East China University of Science and Technology, China

    1 publications · 23 citations

    1

    h-index

1–5 of 33

Venues

  1. Computers & Chemical Engineering

    4 publications · 81 citations

    4

    h-index

  2. Control Engineering Practice

    2 publications · 55 citations

    2

    h-index

  3. 1

    h-index

  4. Annual Reviews in Control

    1 publications · 23 citations

    1

    h-index

  5. Simulation Modelling Practice and Theory

    1 publications · 23 citations

    1

    h-index

1–5