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
Chemical process fault detection and trend analysis based on KESN
Chemical process fault detection and trend analysis based on KESN
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Yuping Cao
,
Ruikang Cheng
,
Xiaogang Deng
,
Ping 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
Description
DOI:
10.1002/cjce.25350
Similar Items
Chemical process time series prediction using multi‐source transfer learning based on ESN
by: Yuping Cao, et al.
Published: (2025)
Canonical variate residual analysis for industrial processes fault detection
by: Yuting Li, et al.
Published: (2024)
A multi‐sensors nonlinear industrial process fault detection method based on Procrustes analysis transfer learning
by: Jing Wang, et al.
Published: (2026)
Dimensionality reducing Gaussian mixture‐based reconstruction for fault detection in multimode processes
by: Yanfeng Cui, et al.
Published: (2024)
Novel deep‐learning model for chemical process fault detection based on DCW transformer
by: Ying Xie, et al.
Published: (2024)