Siwei Lou

According to our database, Siwei Lou authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Complexity to Clarity: M2KCSVA's Nonlinear Temporal Correlation Analysis and Stationary Estimation Pave the Way for Fault Diagnosis in Ironmaking Processes.

Siwei Lou, Chunjie Yang, Xujie Zhang, Hanwen Zhang, Ping Wu

IEEE Trans. Ind. Informatics, April, 2024

Blast Furnace Ironmaking Process Monitoring With Time-Constrained Global and Local Nonlinear Analytic Stationary Subspace Analysis.

Siwei Lou, Chunjie Yang, Xujie Zhang, Hanwen Zhang, Ping Wu

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.

Yuelin Yang, Chunjie Yang, Shuming Sun, Siwei Lou, Xiong zhuo Zhu, Xujie Zhang

IEEE Trans. Instrum. Meas., 2024

One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction.

Duojin Yan, Chunjie Yang, Shuming Sun, Siwei Lou, Liyuan Kong, Yuyan Zhang

IEEE Trans. Instrum. Meas., 2024

2023

Novel Data-Driven Deep Learning Assisted CVA for Ironmaking System Prediction and Control.

Siwei Lou, Chunjie Yang, Xujie Zhang, Ping Wu

IEEE Trans. Circuits Syst. II Express Briefs, December, 2023

A Local Dynamic Broad Kernel Stationary Subspace Analysis for Monitoring Blast Furnace Ironmaking Process.

Siwei Lou, Chunjie Yang, Ping Wu

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.

Yuchen Zhao, Chunjie Yang, Hang Xiao, Yaoyao Bao, Siwei Lou, Jiayun Mao, Huanyu Liao

IEEE Trans. Instrum. Meas., 2023

Collaborative Extraction of Intervariable Coupling Relationships and Dynamics for Prediction of Silicon Content in Blast Furnaces.

Liyuan Kong, Chunjie Yang, Siwei Lou, Yu Cai, Xiaoke Huang, Mingyang Sun

IEEE Trans. Instrum. Meas., 2023

Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process.

Siwei Lou, Chunjie Yang, Xiongzhuo Zhu, Hanwen Zhang, Ping Wu

Inf. Sci., 2023

2022

Joint model based on RMK-ASSA and DBSKNet.

Siwei Lou

Dataset, May, 2022

Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach.

Siwei Lou, Chunjie Yang, Ping Wu, Liyuan Kong, Yonghong Xu

IEEE Trans. Instrum. Meas., 2022

2021

Data-Driven Fault Diagnosis Using Deep Canonical Variate Analysis and Fisher Discriminant Analysis.

Ping Wu, Siwei Lou, Xujie Zhang, Jiajun He, Yichao Liu, Jinfeng Gao

IEEE Trans. Ind. Informatics, 2021

2019

Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring.

Ping Wu, Lingling Guo, Siwei Lou, Jinfeng Gao

IEEE Access, 2019

Sparse Kernel Principal Component Analysis via Sequential Approach for Nonlinear Process Monitoring.

Lingling Guo, Ping Wu, Jinfeng Gao, Siwei Lou

IEEE Access, 2019

2017

A design approach for event-driven optimization in complex air conditioning systems.

Junqi Wang, Siwei Lou, Pei Zhou, Gongsheng Huang

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017