Analysis of Metallic Plume Image Characteristics During High Power Disk Laser Welding

Gao, Xiangdong; Wang, Runlin; Liu, Yingying; Yang, Yao

doi:10.1007/978-94-007-6818-5_17

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Classical Machine Learning Methods1

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2022

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“…In laser-based manufacturing field, such data-driven approaches have been extensively studied in the past and are based on autoregressive exogenous (ARX) model [154]- [155], cluster analysis [156], fuzzy logic (FL) [156]- [161] or on supervised learning algorithms including multivariate regression (MR) [162]- [163], multi-layer perceptron (MLP) [164]- [165], and decision trees (DT) [166]- [167], as well as K-nearest neighbors (KNN) [168]- [169]. Once the eigenvector has been established, effective identification and classification of different welding status or defects can be realized by using advanced modeling technology.…”

Section: Classical Machine Learning Methodsmentioning

confidence: 99%