A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset

Batch process monitoring datasets usually contain missing data, which decreases the performance of data-driven modeling for fault identification and optimal control. Many methods have been proposed to impute missing data; however, they do not fulfill the need for data quality, especially in sensor d...

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Detalles Bibliográficos
Autores principales: Gan, Qihong, Gong, Lang, Hu, Dasha, Jiang, Yuming, Ding, Xuefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650138/
https://www.ncbi.nlm.nih.gov/pubmed/37960379
http://dx.doi.org/10.3390/s23218678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650138/
https://www.ncbi.nlm.nih.gov/pubmed/37960379
http://dx.doi.org/10.3390/s23218678

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