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Zhihuan Song

Zhihuan Song

D-Index & Metrics

Computer Science

D-Index
60
Citations
12155
World Ranking
3285
National Ranking
441

Overview

Zhihuan Song is affiliated with Zhejiang University in China and has contributed extensively to the field of engineering, with a focus on control and systems engineering, mechanical engineering, and artificial intelligence.

Their research topics encompass a range of specialized areas, including:

  • Fault Detection and Control Systems
  • Mineral Processing and Grinding
  • Advanced Control Systems Optimization
  • Spectroscopy and Chemometric Analyses
  • Machine Fault Diagnosis Techniques
  • Advanced Statistical Process Monitoring
  • Industrial Vision Systems and Defect Detection

Zhihuan Song's published work spans several major venues, frequently contributing to:

  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Sensors Journal
  • IEEE Transactions on Neural Networks and Learning Systems
  • 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)

Recent papers authored or co-authored by Zhihuan Song include:

  • "Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis," 2021, IEEE Transactions on Industrial Informatics
  • "Multirate Mixture Probability Principal Component Analysis for Process Monitoring in Multimode Processes," 2023, IEEE Transactions on Automation Science and Engineering
  • "Data-driven modelling methods in sintering process: Current research status and perspectives," 2022, The Canadian Journal of Chemical Engineering
  • "Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis," 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process," 2021, IEEE/CAA Journal of Automatica Sinica

Collaborations are an important aspect of Zhihuan Song's scientific work. Frequent co-authors include:

  • Xinmin Zhang
  • Zhiqiang Ge
  • Chihang Wei
  • Jinchuan Qian
  • Le Yao

Best Publications

  • Review of Recent Research on Data-Based Process Monitoring

    Zhiqiang Ge;Zhihuan Song;Furong Gao

  • Data Mining and Analytics in the Process Industry: The Role of Machine Learning

    Zhiqiang Ge;Zhihuan Song;Steven X. Ding;Biao Huang

  • Process Monitoring Based on Independent Component Analysis - Principal Component Analysis ( ICA - PCA ) and Similarity Factors

    Zhiqiang Ge;Zhihuan Song

  • Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data

    Jinlin Zhu;Zhiqiang Ge;Zhihuan Song

  • Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data

    Jinlin Zhu;Jinlin Zhu;Zhiqiang Ge;Zhihuan Song;Furong Gao

  • Distributed PCA Model for Plant-Wide Process Monitoring

    Zhiqiang Ge;Zhihuan Song

  • Improved kernel PCA-based monitoring approach for nonlinear processes

    Zhiqiang Ge;Chunjie Yang;Zhihuan Song

  • A comparative study of just-in-time-learning based methods for online soft sensor modeling

    Zhiqiang Ge;Zhihuan Song

  • Online monitoring of nonlinear multiple mode processes based on adaptive local model approach

    Zhiqiang Ge;Zhihuan Song

  • Global–Local Structure Analysis Model and Its Application for Fault Detection and Identification

    Muguang Zhang;Zhiqiang Ge;Zhihuan Song;Ruowei Fu

  • Mixture Bayesian regularization method of PPCA for multimode process monitoring

    Zhiqiang Ge;Zhihuan Song

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

    Xiaofeng Yuan;Yalin Wang;Chunhua Yang;Zhiqiang Ge

  • Locally Weighted Kernel Principal Component Regression Model for Soft Sensing of Nonlinear Time-Variant Processes

    Xiaofeng Yuan;Zhiqiang Ge;Zhihuan Song

  • Nonlinear process monitoring based on linear subspace and Bayesian inference

    Zhiqiang Ge;Muguang Zhang;Zhihuan Song

  • Multimode process monitoring based on Bayesian method

    Zhiqiang Ge;Zhihuan Song

  • Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR

    Xiaofeng Yuan;Zhiqiang Ge;Biao Huang;Zhihuan Song

  • Batch process monitoring based on support vector data description method

    Zhiqiang Ge;Zhiqiang Ge;Furong Gao;Zhihuan Song

  • Hilbert–Huang transform based signal analysis for the characterization of gas–liquid two-phase flow

    Hao Ding;Zhiyao Huang;Zhihuan Song;Yong Yan

  • Soft sensor model development in multiphase/multimode processes based on Gaussian mixture regression

    Xiaofeng Yuan;Zhiqiang Ge;Zhihuan Song

  • Semi-supervised fault classification based on dynamic Sparse Stacked auto-encoders model

    Li Jiang;Zhiqiang Ge;Zhihuan Song

  • Mixture probabilistic PCR model for soft sensing of multimode processes

    Zhiqiang Ge;Zhiqiang Ge;Furong Gao;Zhihuan Song

Frequent Co-Authors

Zhiqiang Ge
Zhiqiang Ge Zhejiang University
Junghui Chen
Junghui Chen Chung Yuan Christian University
Xiaofeng Yuan
Xiaofeng Yuan Central South University
Furong Gao
Furong Gao Hong Kong University of Science and Technology
Biao Huang
Biao Huang University of Alberta
Yi Cao
Yi Cao Lund University
Steven X. Ding
Steven X. Ding University of Duisburg-Essen
Uwe Kruger
Uwe Kruger Rensselaer Polytechnic Institute
Ahmet Palazoglu
Ahmet Palazoglu University of California, Davis
S. Joe Qin
S. Joe Qin Lingnan University

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