Process Fault Detection

Process Fault Detection is a systematic analytical framework within process analytical chemistry that enables the identification and diagnosis of deviations from normal operating conditions in industrial processes through real-time monitoring and statistical analysis of process data.

2.3K

Publications

124.4K

Citations

4.2K

Authors

1.1K

Institutions

Publications per year

2017–2026

1K

Authors

4.2K

  1. XY
    Xuefeng Yan

    East China University of Science and Technology, China

    57 publications · 3K citations

    34

    h-index

  2. SJ
    S. Joe Qin

    University of Southern California, United States

    48 publications · 8.6K citations

    34

    h-index

  3. CZ
    Chunhui Zhao

    State Key Laboratory of Industrial Control Technology

    47 publications · 3.4K citations

    32

    h-index

  4. ZS
    Zhihuan Song

    State Key Laboratory of Industrial Control Technology

    34 publications · 3.7K citations

    28

    h-index

  5. KP
    Kaixiang Peng

    University of Science and Technology Beijing, China

    44 publications · 2K citations

    27

    h-index

1–5 of 4.2K

Venues

  1. Industrial & Engineering Chemistry Research

    182 publications · 9.7K citations

    48

    h-index

  2. Journal of Process Control

    106 publications · 8.7K citations

    45

    h-index

  3. AIChE Journal

    68 publications · 9.4K citations

    44

    h-index

  4. Computers & Chemical Engineering

    93 publications · 7.3K citations

    43

    h-index

  5. IEEE Transactions on Industrial Electronics

    49 publications · 5.8K citations

    40

    h-index

1–5