Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Monitoring dynamic process with orthonormal subspace analysis
Monitoring dynamic process with orthonormal subspace analysis
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Zhijiang Lou
,
Weichen Hao
,
Shan Lu
,
Yonghui Wang
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
The Canadian Journal of Chemical Engineering
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://onlinelibrary.wiley.com/doi/10.1002/cjce.25242
Similar Items
Bidirectional sparse principal component analysis for process monitoring
by: Jinziyuan Lv, et al.
Published: (2025)
Probabilistic dynamic stationary subspace regression model for soft sensing of nonstationary industrial processes
by: Jingyun Xu, et al.
Published: (2025)
Constant component separation for nonlinear time‐varying process monitoring based on stationary subspace analysis and one‐class SVM
by: Jianing Di, et al.
Published: (2025)
CVAE ‐ SFA : A practical dual‐channel and multi‐index comprehensive operating performance assessment method for dynamic nonstationary industrial processes
by: Zhipeng Zhang, et al.
Published: (2025)
Nonlinear dynamic process monitoring based on latent mapping embedding deep neural networks
by: Zhenhua Yu, et al.
Published: (2024)