An active visual monitoring method for GMAW weld surface defects based on random forest model

Caixia Zhu, Haitao Yuan, Guohong Ma

Open source

DOI: 10.1088/2053-1591/ac5a38
Published: 2022
Container: Materials Research Express
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1088/2053-1591/ac5a38,
  title = {An active visual monitoring method for GMAW weld surface defects based on random forest model},
  author = {Caixia Zhu and Haitao Yuan and Guohong Ma},
  year = {2022},
  journal = {Materials Research Express},
  doi = {10.1088/2053-1591/ac5a38},
  url = {https://doi.org/10.1088/2053-1591/ac5a38}
}

RIS

TY  - JOUR
TI  - An active visual monitoring method for GMAW weld surface defects based on random forest model
AU  - Caixia Zhu
AU  - Haitao Yuan
AU  - Guohong Ma
PY  - 2022
JO  - Materials Research Express
DO  - 10.1088/2053-1591/ac5a38
UR  - https://doi.org/10.1088/2053-1591/ac5a38
ER  -

APA

Zhu, C., Yuan, H., & Ma, G. (2022). An active visual monitoring method for GMAW weld surface defects based on random forest model. Materials Research Express. https://doi.org/10.1088/2053-1591/ac5a38

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doaj · retrieved 2026-09-27T06:12:01.943Z