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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
19887
World Ranking
914
National Ranking
157

Overview

Weihua Gui is affiliated with Central South University in China and has contributed extensively to the fields of engineering and computer science. The primary focus of their research lies in control and systems engineering, mechanical engineering, artificial intelligence, computer vision and pattern recognition, and industrial and manufacturing engineering.

The main topics covered in their work include fault detection and control systems, mineral processing and grinding, iron and steelmaking processes, advanced control systems optimization, minerals flotation and separation techniques, industrial vision systems and defect detection, and machine fault diagnosis techniques.

The scientist has published numerous papers in several prominent venues. Frequent publication venues include:

  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Industrial Informatics
  • SSRN Electronic Journal
  • Control Engineering Practice
  • IEEE Transactions on Neural Networks and Learning Systems

Some of Weihua Gui's recent papers are:

  • Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection, 2020, IEEE Transactions on Industrial Electronics
  • Automated Visual Defect Classification for Flat Steel Surface: A Survey, 2020, IEEE Transactions on Instrumentation and Measurement
  • Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder, 2020, Journal of Process Control
  • Estimating the State-of-Charge of Lithium-Ion Battery Using an H-Infinity Observer Based on Electrochemical Impedance Model, 2020, IEEE Access

Weihua Gui collaborates frequently with several researchers, indicating active joint research and contributions. Frequent co-authors include:

  • Chunhua Yang
  • Zhaohui Jiang
  • Keke Huang
  • Yongfang Xie

Best Publications

  • Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

    Xiaofeng Yuan;Biao Huang;Yalin Wang;Chunhua Yang

  • A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network.

    Yalin Wang;Zhuofu Pan;Xiaofeng Yuan;Chunhua Yang

  • A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks

    Wenfeng Hu;Chunhua Yang;Tingwen Huang;Weihua Gui

  • Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms

    Zhiwen Chen;Steven X. Ding;Tao Peng;Chunhua Yang

  • STATE TRANSITION ALGORITHM

    Xiaojun Zhou;Chunhua Yang;Weihua Gui

  • Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

    Xiaofeng Yuan;Jiao Zhou;Biao Huang;Yalin Wang

  • Passivity-Based Asynchronous Sliding Mode Control for Delayed Singular Markovian Jump Systems

    Fanbiao Li;Chenglong Du;Chunhua Yang;Weihua Gui

  • On the application of PCA technique to fault diagnosis

    S Ding;P Zhang;E Ding;A Naik

  • Stability and Set Stability in Distribution of Probabilistic Boolean Networks

    Yuqian Guo;Rongpei Zhou;Yuhu Wu;Weihua Gui

  • Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes

    Xiaofeng Yuan;Yalin Wang;Chunhua Yang;Zhiqiang Ge

  • Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples.

    Keke Huang;Shujie Wu;Fanbiao Li;Chunhua Yang

  • A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process

    Xiaofeng Yuan;Chen Ou;Yalin Wang;Chunhua Yang

  • A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring

    Zhiwen Chen;Yue Cao;Steven X. Ding;Kai Zhang

  • A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection

    Zhiwen Chen;Chang Liu;Steven X. Ding;Tao Peng

  • A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes

    Xiaofeng Yuan;Yongjie Gu;Yalin Wang;Chunhua Yang

  • A Fault-Injection Strategy for Traction Drive Control Systems

    Chunhua Yang;Chao Yang;Tao Peng;Xiaoyue Yang

  • Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network

    Unknown

  • Distributed Consensus of Second-Order Multiagent Systems With Nonconvex Velocity and Control Input Constraints

    Peng Lin;Wei Ren;Chunhua Yang;Weihua Gui

  • Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks

    An-Feng Liu;Xian-You Wu;Zhi-Gang Chen;Wei-Hua Gui

  • Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE

    Xiaofeng Yuan;Chen Ou;Yalin Wang;Chunhua Yang

  • Improvement of State Feedback Controller Design for Networked Control Systems

    Bin Tang;Guo-Ping Liu;Wei-Hua Gui

  • Soft sensor model for dynamic processes based on multichannel convolutional neural network

    Xiaofeng Yuan;Shuaibin Qi;Yuri A.W. Shardt;Yalin Wang

  • Event-Based Fault Detection Filtering for Complex Networked Jump Systems

    Tiebin Wu;Fanbiao Li;Chunhua Yang;Weihua Gui

  • Distributed Optimization With Nonconvex Velocity Constraints, Nonuniform Position Constraints, and Nonuniform Stepsizes

    Peng Lin;Wei Ren;Chunhua Yang;Weihua Gui

  • Edge Detection Based on Multi-Structure Elements Morphology

    Yuqian Zhao;Weihua Gui;Zhencheng Chen

Frequent Co-Authors

Xiaofeng Yuan
Xiaofeng Yuan Central South University
Guisheng Zhai
Guisheng Zhai Shibaura Institute of Technology
Min Wu
Min Wu China University of Geosciences
Steven X. Ding
Steven X. Ding University of Duisburg-Essen
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Wei Ren
Wei Ren University of California, Riverside
Guo-Ping Liu
Guo-Ping Liu Southern University of Science and Technology
Peng Shi
Peng Shi University of Adelaide
Anfeng Liu
Anfeng Liu Central South University
Jiexi Wang
Jiexi Wang Central South University

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