Chemical process time series prediction using multi‐source transfer learning based on ESN
Fuente:
Wiley Open Access
Salvato in:
| Autori principali: | Yuping Cao, Xinyu Liu, Xiaogang Deng, Ping Wang |
|---|---|
| Natura: | Artículo Open Access |
| Pubblicazione: |
Wiley
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Documenti analoghi
Chemical process fault detection and trend analysis based on KESN
di: Yuping Cao, et al.
Pubblicazione: (2024)
di: Yuping Cao, et al.
Pubblicazione: (2024)
A multi‐sensors nonlinear industrial process fault detection method based on Procrustes analysis transfer learning
di: Jing Wang, et al.
Pubblicazione: (2026)
di: Jing Wang, et al.
Pubblicazione: (2026)
Optimizing profitability of batch fermentation processes using machine learning‐based endpoint prediction
di: Hechang Shi, et al.
Pubblicazione: (2025)
di: Hechang Shi, et al.
Pubblicazione: (2025)
Dynamic NOx emission prediction for a 660 MW super‐critical coal‐fired boiler using integrated time series network with adaptive filtering and deep learning
di: Zixuan Lin, et al.
Pubblicazione: (2025)
di: Zixuan Lin, et al.
Pubblicazione: (2025)
A review of just‐in‐time learning‐based soft sensor in industrial process
di: Weiwei Sheng, et al.
Pubblicazione: (2024)
di: Weiwei Sheng, et al.
Pubblicazione: (2024)
Data‐driven deep learning prediction of full molecular weight distribution in polymerization processes
di: Dante Mora‐Mariano, et al.
Pubblicazione: (2025)
di: Dante Mora‐Mariano, et al.
Pubblicazione: (2025)
An integrated tube robust iterative learning model predictive control strategy based on dynamic partial least squares algorithm for batch processes
di: Liuming Zhou, et al.
Pubblicazione: (2024)
di: Liuming Zhou, et al.
Pubblicazione: (2024)
Abnormal state prediction of flotation process based on dual attention mechanism and multivariate information fusion
di: Shu Wang, et al.
Pubblicazione: (2024)
di: Shu Wang, et al.
Pubblicazione: (2024)
Integrated design, control, and machine learning‐based composition prediction for extractive distillation using deep eutectic solvent
di: Latheefa Mumthas Puthiyedath, et al.
Pubblicazione: (2026)
di: Latheefa Mumthas Puthiyedath, et al.
Pubblicazione: (2026)
Analysis of the enhanced heat transfer characteristics of supercritical CO 2 and CO 2 / Xe mixture working fluids in PCHE and prediction of heat transfer correlation
di: Youwei Fu, et al.
Pubblicazione: (2025)
di: Youwei Fu, et al.
Pubblicazione: (2025)
Induction motor process monitoring in power plants based on multi‐step reconstruction‐based PCA
di: Ran Cui, et al.
Pubblicazione: (2025)
di: Ran Cui, et al.
Pubblicazione: (2025)
Design of an online learning scheme for quality prediction in refining and chemical units
di: Zhu Wang, et al.
Pubblicazione: (2025)
di: Zhu Wang, et al.
Pubblicazione: (2025)
Plant‐wide industrial process monitoring based on multi‐block random kernel principal component analysis and knowledge‐based causality diagrams
di: Zhe Zhou, et al.
Pubblicazione: (2026)
di: Zhe Zhou, et al.
Pubblicazione: (2026)
Fault diagnosis of batch processes for small samples based on contrastive learning
di: Jingyun Xu, et al.
Pubblicazione: (2025)
di: Jingyun Xu, et al.
Pubblicazione: (2025)
A novel industrial process situation awareness model based on multi‐time scale dynamic feature fusion with applications to float glass manufacturing
di: Kaixiang Peng, et al.
Pubblicazione: (2024)
di: Kaixiang Peng, et al.
Pubblicazione: (2024)
Observer compensation‐based model predictive fault‐tolerant control for industrial processes: A high‐order fully actuated system‐method
di: Pengbin Zhang, et al.
Pubblicazione: (2025)
di: Pengbin Zhang, et al.
Pubblicazione: (2025)
A novel ensemble network based on CNN ‐ AM ‐ BiLSTM learner for temperature prediction of distillation columns
di: Jianji Ren, et al.
Pubblicazione: (2025)
di: Jianji Ren, et al.
Pubblicazione: (2025)
Parametric investigation of drying processes for graphene nanomaterials: Heat and mass transfer analysis
di: Naima Benmakhlouf
Pubblicazione: (2025)
di: Naima Benmakhlouf
Pubblicazione: (2025)
Simulation of flow and heat transfer in high‐temperature and high‐pressure reservoir based on multi‐physical field coupling model at pore scale
di: Hongwei Chen, et al.
Pubblicazione: (2024)
di: Hongwei Chen, et al.
Pubblicazione: (2024)
GRU‐based stacked sparse autoencoder with attention mechanism for process monitoring
di: Zengdi Miao, et al.
Pubblicazione: (2025)
di: Zengdi Miao, et al.
Pubblicazione: (2025)
Computational optimization of flotation time in Cu–Pb sulphide processing: A multi‐algorithm analysis of kinetic models
di: Ahmed Abbaker, et al.
Pubblicazione: (2025)
di: Ahmed Abbaker, et al.
Pubblicazione: (2025)
GELU‐LSTM ‐encoder‐decoder fault prediction for batch processes based on the global–local percentile method
di: Xuejin Gao, et al.
Pubblicazione: (2024)
di: Xuejin Gao, et al.
Pubblicazione: (2024)
Updating strategy of safe operation control model for dense medium coal preparation process based on Bayesian network and incremental learning
di: Jianwen Wang, et al.
Pubblicazione: (2024)
di: Jianwen Wang, et al.
Pubblicazione: (2024)
A deep‐learning model based on MFE ‐Transformer for chemical process fault detection
di: Ying Xie, et al.
Pubblicazione: (2025)
di: Ying Xie, et al.
Pubblicazione: (2025)
Novel deep‐learning model for chemical process fault detection based on DCW transformer
di: Ying Xie, et al.
Pubblicazione: (2024)
di: Ying Xie, et al.
Pubblicazione: (2024)
Quality‐related process monitoring approach based on sparse autoencoder and comprehensive KPLS
di: Yikai Xue, et al.
Pubblicazione: (2025)
di: Yikai Xue, et al.
Pubblicazione: (2025)
A new design of double predictive proportional integral control strategy for first order plus dead time industrial processes
di: Chonggao Hu, et al.
Pubblicazione: (2024)
di: Chonggao Hu, et al.
Pubblicazione: (2024)
Explosion pressure and duration prediction using machine learning: A comparative study using classical models with Adam‐ optimized neural network
di: Ahmad Muzammil Idris, et al.
Pubblicazione: (2024)
di: Ahmad Muzammil Idris, et al.
Pubblicazione: (2024)
Multi‐scale feature fusion network‐based industrial process fault diagnosis method using space–time capsule and classifier optimization
di: Yue Zhao, et al.
Pubblicazione: (2025)
di: Yue Zhao, et al.
Pubblicazione: (2025)
Experimental study and numerical simulation of microchannel heat exchanger structure optimization based on heat transfer and flow
di: Qingyang Zhang, et al.
Pubblicazione: (2025)
di: Qingyang Zhang, et al.
Pubblicazione: (2025)
A multi‐feature space constrained stacked autoencoder and its application for uncertain process monitoring
di: Jiandong Yang, et al.
Pubblicazione: (2025)
di: Jiandong Yang, et al.
Pubblicazione: (2025)
Transforming chemical process engineering: The role of AI and machine learning in revolutionizing process systems
di: Somnath Chowdhury, et al.
Pubblicazione: (2025)
di: Somnath Chowdhury, et al.
Pubblicazione: (2025)
Collaborative optimization of dynamic early warning and control in desulphurization process via integration of causal inference and temporal features
di: He Li, et al.
Pubblicazione: (2025)
di: He Li, et al.
Pubblicazione: (2025)
Fault diagnosis for blast furnace ironmaking process based on randomized local fisher discriminant analysis
di: Jiawei Zhou, et al.
Pubblicazione: (2024)
di: Jiawei Zhou, et al.
Pubblicazione: (2024)
Constant component separation for nonlinear time‐varying process monitoring based on stationary subspace analysis and one‐class SVM
di: Jianing Di, et al.
Pubblicazione: (2025)
di: Jianing Di, et al.
Pubblicazione: (2025)
Development of new correlation for the prediction of power number for closed clearance impellers using machine learning methods trained on literature data
di: Sumit S. Joshi, et al.
Pubblicazione: (2024)
di: Sumit S. Joshi, et al.
Pubblicazione: (2024)
Application of influence diagrams to multi‐objective allocation of firefighting resources in process plants
di: Sina Khakzad, et al.
Pubblicazione: (2025)
di: Sina Khakzad, et al.
Pubblicazione: (2025)
Kinetics, thermodynamics, and diffusion‐controlled mass transfer in the extraction of phenolics from Laurus nobilis leaves with screening and multi‐response optimization
di: Okan Tunç, et al.
Pubblicazione: (2026)
di: Okan Tunç, et al.
Pubblicazione: (2026)
Numerical analysis and optimization on flow and heat transfer performance of HPD ‐type perforated fins
di: Hao Dai, et al.
Pubblicazione: (2024)
di: Hao Dai, et al.
Pubblicazione: (2024)
Application of machine learning on hydrate formation prediction of pure components with water and inhibitors solution
di: Qazi Nasir, et al.
Pubblicazione: (2024)
di: Qazi Nasir, et al.
Pubblicazione: (2024)
Documenti analoghi
-
Chemical process fault detection and trend analysis based on KESN
di: Yuping Cao, et al.
Pubblicazione: (2024) -
A multi‐sensors nonlinear industrial process fault detection method based on Procrustes analysis transfer learning
di: Jing Wang, et al.
Pubblicazione: (2026) -
Optimizing profitability of batch fermentation processes using machine learning‐based endpoint prediction
di: Hechang Shi, et al.
Pubblicazione: (2025) -
Dynamic NOx emission prediction for a 660 MW super‐critical coal‐fired boiler using integrated time series network with adaptive filtering and deep learning
di: Zixuan Lin, et al.
Pubblicazione: (2025) -
A review of just‐in‐time learning‐based soft sensor in industrial process
di: Weiwei Sheng, et al.
Pubblicazione: (2024)