Auteur Jie Yu
Documents disponibles écrits par cet auteur (6)
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Article : texte imprimé
Mudassir M. Rashid, Auteur ; Jie Yu, Auteur |For complex chemical processes with multiple operating conditions and inherent system uncertainty, conventional multivariate process monitoring techniques such as principal component analysis (PCA) and independent component analysis (ICA) are il[...]
Article : texte imprimé
The predictive model based soft sensor technique has become increasingly important to provide reliable online measurements, facilitate advanced process control and optimization, and improve product quality in process industries. The conventional[...]
Article : texte imprimé
Jie Yu, Auteur ; S. Joe Qin, Auteur |A novel batch process monitoring approach is proposed in this article to handle batch processes with multiple operation phases. The basic idea is to combine the Gaussian mixture model (GMM) with hybrid unfolding of a multiway data matrix to part[...]
Article : texte imprimé
Jie Yu, Auteur ; S. Joe Qin, Auteur |A novel batch process monitoring approach is proposed in this article to handle batch processes with multiple operation phases. The basic idea is to combine the Gaussian mixture model (GMM) with hybrid unfolding of a multiway data matrix to part[...]
Article : texte imprimé
Mudassir M. Rashid, Auteur ; Jie Yu, Auteur |Batch or semibatch process monitoring is a challenging task because of various factors such as strong nonlinearity, inherent time-varying dynamics, batch-to-batch variations, and multiple operating phases. In this article, a novel nonlinear and [...]
Article : texte imprimé
A novel batch bioprocess monitoring approach based on multiway kernel localized Fisher discriminant analysis (MKLFDA) is proposed in this article. For the routine bioprocess operation with some abnormal events, a supervised monitoring method is [...]
