Weld Defect Detection

Weld Defect Detection is a computational method within the field of robotic and spot welding quality assurance that identifies deviations from prescribed weld integrity standards by analyzing sensor data or visual representations to distinguish defective from non-defective weld joints.

588

Publications

25.7K

Citations

1.9K

Authors

526

Institutions

Publications per year

2017–2026

356

Authors

1.9K

  1. XG
    Xiangdong Gao

    Guangdong University of Technology, China

    14 publications · 639 citations

    14

    h-index

  2. TW
    T. Warren Liao

    Louisiana State University, United States

    11 publications · 838 citations

    11

    h-index

  3. AC
    Adolfo Cobo

    Universidad de Cantabria, Spain

    10 publications · 454 citations

    10

    h-index

  4. JM
    J. Mirapeix

    Universidad de Cantabria, Spain

    10 publications · 442 citations

    10

    h-index

  5. ZZ
    Zhifen Zhang

    Xi'an Jiaotong University, China

    11 publications · 800 citations

    10

    h-index

1–5 of 1.9K

Venues

  1. NDT & E International

    52 publications · 3.6K citations

    35

    h-index

  2. Journal of Manufacturing Processes

    JMP · 34 publications · 2.3K citations

    27

    h-index

  3. 25

    h-index

  4. Sensors

    16 publications · 603 citations

    16

    h-index

  5. Measurement

    18 publications · 813 citations

    16

    h-index

1–5