Quality Anomaly Detection

Quality Anomaly Detection is a systematic methodological framework within defect detection that identifies deviations from defined quality standards in products or processes by distinguishing abnormal patterns indicative of non-conformities from normal operational behavior.

53

Publications

1.8K

Citations

182

Authors

89

Institutions

Publications per year

2017–2026

25

Authors

182

  1. KP
    Kaixiang Peng

    University of Science and Technology Beijing, China

    3 publications · 76 citations

    3

    h-index

  2. JD
    Jie Dong

    University of Science and Technology Beijing, China

    3 publications · 76 citations

    3

    h-index

  3. SH
    Shuguang He

    Tianjin University, China

    2 publications · 60 citations

    2

    h-index

  4. ZH
    Zhen He

    Tianjin University, China

    2 publications · 60 citations

    2

    h-index

  5. LZ
    Lu Zheng

    Tianjin University, China

    2 publications · 60 citations

    2

    h-index

1–5 of 182

Venues

  1. Expert Systems with Applications

    5 publications · 405 citations

    5

    h-index

  2. IEEE Access

    4 publications · 119 citations

    4

    h-index

  3. 3

    h-index

  4. Journal of Manufacturing Systems

    2 publications · 48 citations

    2

    h-index

  5. Industrial Management & Data Systems

    2 publications · 88 citations

    2

    h-index

1–5