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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |