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)...

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Detalles Bibliográficos
Autores principales: Li, Chang, Zhou, Zhe, Wen, Chenglin, Li, Zuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
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

Internet

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

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