Small Shift Detection

Small Shift Detection is a statistical monitoring technique in process control that specifically identifies minor deviations in process parameters, distinguishing itself from general fault detection methods by its sensitivity to subtle, gradual changes rather than large, abrupt shifts.

87

Publications

5.7K

Citations

178

Authors

111

Institutions

Publications per year

2017–2026

33

Authors

178

  1. MB
    Michael B. C. Khoo

    Universiti Sains Malaysia, Malaysia

    6 publications · 212 citations

    6

    h-index

  2. MA
    Muhammad Aslam

    King Abdulaziz University, Saudi Arabia

    6 publications · 143 citations

    6

    h-index

  3. MR
    Muhammad Riaz

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    5 publications · 127 citations

    5

    h-index

  4. SH
    Salah Haridy

    University of Sharjah, United Arab Emirates

    4 publications · 92 citations

    4

    h-index

  5. ZW
    Zhang Wu

    Nanyang Technological University, Singapore

    4 publications · 295 citations

    4

    h-index

1–5 of 178

Venues

  1. 13

    h-index

  2. International Journal of Production Research

    10 publications · 476 citations

    10

    h-index

  3. Quality Engineering

    8 publications · 371 citations

    8

    h-index

  4. 5

    h-index

  5. Journal of Quality Technology

    5 publications · 469 citations

    5

    h-index

1–5