High-dimensional Process Monitoring

High-Dimensional Process Monitoring is a statistical process control methodology designed for monitoring processes characterized by a large number of interrelated quality variables, where dimensionality poses challenges to traditional monitoring techniques in terms of estimation accuracy, computational efficiency, and false alarm rates.

91

Publications

5K

Citations

240

Authors

114

Institutions

Publications per year

2017–2026

64

Authors

240

  1. MS
    Marco S. Reis

    University of Coimbra, Portugal

    4 publications · 179 citations

    5

    h-index

  2. TJ
    Tiago J. Rato

    University of Coimbra, Portugal

    4 publications · 179 citations

    5

    h-index

  3. SK
    Sangahn Kim

    Siena College, United States

    3 publications · 88 citations

    3

    h-index

  4. JS
    Jianjun Shi

    Georgia Institute of Technology, United States

    3 publications · 279 citations

    3

    h-index

  5. WG
    Weihua Gui

    Central South University, China

    3 publications · 179 citations

    3

    h-index

1–5 of 240

Venues

  1. Journal of Quality Technology

    11 publications · 1.1K citations

    11

    h-index

  2. Industrial & Engineering Chemistry Research

    8 publications · 234 citations

    8

    h-index

  3. Journal of Process Control

    4 publications · 637 citations

    4

    h-index

  4. International Journal of Production Research

    3 publications · 67 citations

    3

    h-index

  5. Computers & Industrial Engineering

    3 publications · 115 citations

    3

    h-index

1–5