劉毅 Yi Liu

  • 學歷:浙江大学工業控制研究所博士

  • 現職:浙江工業大學化工機械設計研究所

  • 研究方向:
    Soft Sensors

發表論文:

  • Y. Liu, Y. Fan and J. Chen, Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN, Energy & Fuels,  2017.  (Accepted)
  • Y. Liu, Q.-Y. Wu, and J. Chen,  Active Selection of Informative Data for Sequential Quality Enhancement of Soft Sensor Models with Latent Variables, Ind. Eng. Chem. Res., 56 (16), 4804–4817, 2017.
  • Y. Liu, C.-P. Chou, J. Chen, J.-Y. Lai, Active Learning Assisted Strategy of Constructing Hybrid Models in Repetitive Operations of Membrane Filtration Processes: Using Case of Mixture of Bentonite Clay and Sodium Alginatel,  J. Membr. Sci., 515, 245-257, 2016.
  • Y. Liu, Z. Zhang and J. Chen,Ensemble Local Kernel Learning for Online Prediction of Distributed Product Outputs in Chemical Processes, Chem. Eng. Sci., 137, 140-151, 2015. 

  • Y. Liu, T. Chen and J. Chen,  Auto-Switch Gaussian Process Regression-based Probabilistic Soft Sensors for Industrial Multi-Grade Processes with Transitions, Ind. Eng. Chem. Res., 54(18), 5037-5047,2015. 

  • Y. Liu and J. Chen, Correntropy Kernel Learning for Nonlinear System Identification with Outliers, Ind. Eng. Chem. Res., 53(13) 5248-5260, 2014.

  • L. L. T. Chan, Y. Liu and J. Chen, Nonlinear System Identification with Selective Recursive Gaussian Process Models, Ind. Eng. Chem. Res. 52 (51) 18276-18286, 2013.

  • T. Chen, Y. Liu and J. Chen, An Integrated Approach to Active Model Adaptation and On-Line Dynamic Optimisation of Batch Processes, J. Process Contr., 23, 1350-1359, 2013.

  • Y. Liu, Z. Gao and J. Chen, Development of Soft-Sensors for Online Quality Prediction of Sequential-Reactor-Multi-Grade Industrial Processes, Chem. Eng. Sci., 102, 602-612, 2013, 2013.

  • Y. Liu and J. Chen, Integrated Soft Sensor using Just-in-time Support Vector Regression and Probabilistic Analysis for Quality Prediction of Multi-grade Processes,  J. Process Contr., 23, 793-804, 2013.
     

  • Y. Liu and J. Chen, Correntropy-Based Kernel Learning for Nonlinear System Identification with Unknown Noise: An Industrial Case Study, 10th IFAC Symposium on Dynamics and COntrol of Process Systems, DYCOPS2013, December 18-20, 2013, Mumbai, India.