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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746307/ https://www.ncbi.nlm.nih.gov/pubmed/33332390 http://dx.doi.org/10.1371/journal.pone.0243146 |