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Fault Detection of Non-Gaussian and Nonlinear Processes Based on Independent Slow Feature Analysis
[Image: see text] Independent component analysis (ICA) is an excellent latent variables (LVs) extraction method that can maximize the non-Gaussianity between LVs to extract statistically independent latent variables and which has been widely used in multivariate statistical process monitoring (MSPM)...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892482/ https://www.ncbi.nlm.nih.gov/pubmed/35252689 http://dx.doi.org/10.1021/acsomega.1c06649 |