Siwei Lou
Orcid: 0000-0001-6611-4754
According to our database1,
Siwei Lou
authored at least 25 papers
between 2017 and 2025.
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Bibliography
2025
TKS-BLS: Temporal Kernel Stationary Broad Learning System for Enhanced Modeling, Anomaly Detection, and Incremental Learning With Application to Ironmaking Processes.
IEEE Trans. Syst. Man Cybern. Syst., January, 2025
Facilitating Ferrous Oxide Prediction: Enabling Sintering Forecasting With Orthogonal Basis-Based Implicit Subspace Identification.
IEEE Trans. Ind. Informatics, January, 2025
Knowledge-Based Temporal GCN: A Spatial-Temporal Fault Diagnosis Method for Blast Furnace Ironmaking Process With Imbalanced Data.
IEEE Trans. Instrum. Meas., 2025
2024
SFENOSA: A Novel KPI-Related Process Monitoring Method by Slow Feature Extraction and Elastic Net Orthonormal Subspace Analysis.
IEEE Trans. Ind. Informatics, November, 2024
Data-Driven Joint Fault Diagnosis Based on RMK-ASSA and DBSKNet for Blast Furnace Iron-Making Process.
IEEE Trans Autom. Sci. Eng., July, 2024
Fault Diagnosis of Blast Furnace Iron-making Process with A Novel Deep Stationary Kernel Support Vector Machine Approach.
Dataset, July, 2024
From Complexity to Clarity: M2KCSVA's Nonlinear Temporal Correlation Analysis and Stationary Estimation Pave the Way for Fault Diagnosis in Ironmaking Processes.
IEEE Trans. Ind. Informatics, April, 2024
Blast Furnace Ironmaking Process Monitoring With Time-Constrained Global and Local Nonlinear Analytic Stationary Subspace Analysis.
IEEE Trans. Ind. Informatics, March, 2024
Igniting Advancements in Iron-Making Process Monitoring: Exploring a Novel and Cutting-Edge Joint Sparse-Constrained Data-Dependent Kernel CVA Method.
IEEE Trans. Instrum. Meas., 2024
One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction.
IEEE Trans. Instrum. Meas., 2024
Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams.
Knowl. Based Syst., 2024
Data and knowledge collaborative-driven fault identification and self-healing control action inference framework for blast furnace.
Expert Syst. Appl., 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient.
CoRR, 2024
Ontology guided multi-level knowledge graph construction and its applications in blast furnace ironmaking process.
Adv. Eng. Informatics, 2024
2023
Novel Data-Driven Deep Learning Assisted CVA for Ironmaking System Prediction and Control.
IEEE Trans. Circuits Syst. II Express Briefs, December, 2023
A Local Dynamic Broad Kernel Stationary Subspace Analysis for Monitoring Blast Furnace Ironmaking Process.
IEEE Trans. Ind. Informatics, April, 2023
An End-to-End Multisource Information Fusion Framework for f-CaO Content Soft Sensing in Cement Clinker Burning Process.
IEEE Trans. Instrum. Meas., 2023
Collaborative Extraction of Intervariable Coupling Relationships and Dynamics for Prediction of Silicon Content in Blast Furnaces.
IEEE Trans. Instrum. Meas., 2023
Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process.
Inf. Sci., 2023
2022
Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach.
IEEE Trans. Instrum. Meas., 2022
2021
Data-Driven Fault Diagnosis Using Deep Canonical Variate Analysis and Fisher Discriminant Analysis.
IEEE Trans. Ind. Informatics, 2021
2019
Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring.
IEEE Access, 2019
Sparse Kernel Principal Component Analysis via Sequential Approach for Nonlinear Process Monitoring.
IEEE Access, 2019
2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017