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An improved approach for fault detection by simultaneous overcoming of high-dimensionality, autocorrelation, and time-variability
The control charts with the Principal Component Analysis (PCA) approach and its extension are among the data-driven methods for process monitoring and the detection of faults. Industrial processing data involves complexities such as high dimensionality, auto-correlation, and non-stationary which may...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7746307/ https://ncbi.nlm.nih.gov/pubmed/33332390 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0243146 |
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