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Simultaneous Fault Detection and Identification in Continuous Processes via nonlinear Support Vector Machine based Feature Selection
Rapid detection and identification of process faults in industrial applications is crucial to sustain a safe and profitable operation. Today, the advances in sensor technologies have facilitated large amounts of chemical process data collection in real time which subsequently broadened the use of da...
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| Publicat a: | Int Symp Process Syst Eng |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6284809/ https://ncbi.nlm.nih.gov/pubmed/30534633 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/B978-0-444-64241-7.50341-4 |
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