A Novel Semi-Supervised Feature Extraction Method and Its Application in Automotive Assembly Fault Diagnosis Based on Vision Sensor Data

The fault diagnosis of dimensional variation plays an essential role in the production of an automotive body. However, it is difficult to identify faults based on small labeled sample data using traditional supervised learning methods. The present study proposed a novel feature extraction method nam...

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Detalles Bibliográficos
Autores principales: Zeng, Xuan, Yin, Shi-Bin, Guo, Yin, Lin, Jia-Rui, Zhu, Ji-Gui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111744/
https://www.ncbi.nlm.nih.gov/pubmed/30081511
http://dx.doi.org/10.3390/s18082545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111744/
https://www.ncbi.nlm.nih.gov/pubmed/30081511
http://dx.doi.org/10.3390/s18082545

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