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Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description
As one classical anomaly detection technology, support vector data description (SVDD) has been successfully applied to nonlinear chemical process monitoring. However, the basic SVDD model cannot achieve a satisfactory fault detection performance in the complicated cases because of its intrinsic shal...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472344/ https://www.ncbi.nlm.nih.gov/pubmed/32824350 http://dx.doi.org/10.3390/s20164599 |