A novel semi-supervised robust learning framework for dynamic generative latent variable models and its application to industrial virtual metrology

Han, Wenxue; Shao, Weiming; Wei, Chihang; Song, Wei; Chen, Can; Chen, Junghui

doi:10.1016/j.aei.2024.102775

Advanced Engineering Informatics

2024

DOI: 10.1016/j.aei.2024.102775

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A novel semi-supervised robust learning framework for dynamic generative latent variable models and its application to industrial virtual metrology

Wenxue Han,

Weiming Shao,

Chihang Wei

et al.

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Quality-relevant Modeling and Monitoring of Industrial Cyber-Physical Systems: The Semi-supervised Dynamic Latent Variable Models

Zhou,

Wang,

et al. 2024

Trans. Ind. Cyb-Phy. Sys.

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Quality-relevant Modeling and Monitoring of Industrial Cyber-Physical Systems: The Semi-supervised Dynamic Latent Variable Models

Zhou,

Wang,

et al. 2024

Trans. Ind. Cyb-Phy. Sys.

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A novel semi-supervised robust learning framework for dynamic generative latent variable models and its application to industrial virtual metrology

Cited by 1 publication

References 35 publications

Quality-relevant Modeling and Monitoring of Industrial Cyber-Physical Systems: The Semi-supervised Dynamic Latent Variable Models

Quality-relevant Modeling and Monitoring of Industrial Cyber-Physical Systems: The Semi-supervised Dynamic Latent Variable Models

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