Batch Fault Diagnosis

Batch Fault Diagnosis is a systematic methodology within batch process control that identifies and isolates deviations from normal operational behavior in batch processes by analyzing multivariate process data, distinguished by its focus on time-varying, repetitive production stages and the absence of steady-state conditions typical in continuous processes.

78

Publications

3.5K

Citations

193

Authors

75

Institutions

Publications per year

2017–2026

18

Authors

193

  1. FG
    Furong Gao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    7 publications · 280 citations

    7

    h-index

  2. CZ
    Chunhui Zhao

    State Key Laboratory of Industrial Control Technology

    7 publications · 222 citations

    7

    h-index

  3. JC
    Jon C. Gunther

    University of California, Santa Barbara, United States

    3 publications · 113 citations

    3

    h-index

  4. JY
    Jie Yu

    McMaster University, Canada

    3 publications · 280 citations

    3

    h-index

  5. AF
    Alberto Ferrer

    Universitat Politècnica de València, Spain

    3 publications · 56 citations

    3

    h-index

1–5 of 193

Venues

  1. Industrial & Engineering Chemistry Research

    15 publications · 809 citations

    13

    h-index

  2. Journal of Process Control

    8 publications · 552 citations

    8

    h-index

  3. Computers & Chemical Engineering

    7 publications · 463 citations

    7

    h-index

  4. 7

    h-index

  5. AIChE Journal

    5 publications · 181 citations

    5

    h-index

1–5