Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nicolas Casoetto"'
Publikováno v:
International Journal of Advanced Manufacturing Technology
International Journal of Advanced Manufacturing Technology, 2023, ⟨10.1007/s00170-023-11768-5⟩
International Journal of Advanced Manufacturing Technology, 2023, ⟨10.1007/s00170-023-11768-5⟩
Welding defect detection is still often performed by the human visual inspection or with non destructive tests. These quality inspections methods can be time consuming and can have an important error rate. In this paper, we propose an approach for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53425a5976da96eddf600b8494cc026e
https://hal-emse.ccsd.cnrs.fr/emse-04160559
https://hal-emse.ccsd.cnrs.fr/emse-04160559
In this paper, an approach is proposed for the detection of abnormal time series subsequences using the One-Class SVM with an application to defect detection of two automatic welding processes. The One Class-SVM has been used in many works for the sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52031a1f32f0f6fb78a5ca7c8178c6eb
https://doi.org/10.21203/rs.3.rs-2378527/v2
https://doi.org/10.21203/rs.3.rs-2378527/v2
Publikováno v:
27th International Conference on Emerging Technologies and Factory Automation (ETFA)
27th International Conference on Emerging Technologies and Factory Automation (ETFA), Sep 2022, Stuttgart, Germany. ⟨10.1109/ETFA52439.2022.9921603⟩
27th International Conference on Emerging Technologies and Factory Automation (ETFA), Sep 2022, Stuttgart, Germany. ⟨10.1109/ETFA52439.2022.9921603⟩
International audience; In the industry of hot water tanks, welding quality plays an important role in the durability of the final product. Welds are often inspected visually by the operator, which tends to be time-consuming and prone to a high error
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc689b91d074332420053e79712c4df1
https://hal.science/hal-03837669
https://hal.science/hal-03837669
Publikováno v:
Computers in Industry. 58:558-566
Full realization of all the potentials of predictive maintenance highly depends on the accuracy of long-term predictions of the remaining useful life of manufacturing equipments. In this paper, we propose a new method that is capable of achieving hig
Publikováno v:
Journal of Manufacturing Systems. 22:64-72
This paper presents an algorithm for quantitative assessment of process or machine performance. The algorithm is based on the fusion of multiple sensor inputs and matching of the currently observed system signatures against those observed during its