Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams

In the era of big data, industrial process data are often generated rapidly in the form of streams. Thus, how to process such sequential and high-speed stream data in real time and provide critical quality variable predictions has become a critical issue for facilitating efficient process control an...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yuechen, Jin, Huaiping, Chen, Xiangguang, Wang, Bin, Yang, Biao, Qian, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920279/
https://www.ncbi.nlm.nih.gov/pubmed/36772560
http://dx.doi.org/10.3390/s23031520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920279/
https://www.ncbi.nlm.nih.gov/pubmed/36772560
http://dx.doi.org/10.3390/s23031520

Ejemplares similares