Application of Soft Sensor based on LS-SVM on Estimation of Alumina Powder Flow

被引：2
|
作者：
Lu, Chunyan [1 ]
Li, Wei [1 ]
Liu, Weirong [1 ]
机构：
[1] Lanzhou Univ Technol, Sch Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I | 2009年
关键词：
Least Square Support Vector Machine; alumina powder flow; soft sensor; RBF;
D O I：
10.1109/ICMTMA.2009.236
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Alumina powder flow in electrolytic aluminum plant for the production of alumina can not be precise measured on-line, the Least Squares Support Vector Machines (LS - SVM) was applied in the modeling of alumina powder flow estimation in the process of alumina conveying in this paper, and the soft sensor model based on LS - SVM was compared with the soft sensor model based on RBF. The result of simulation research proves that the soft sensor model based on LS - SVM has a higher precision accuracy and better generalization ability. The soft sensor technique is effective in estimate accuracy of the alumina powder flow.
引用
收藏
页码：281 / 284
页数：4
相关论文
共 50 条
  • [31] Three-dimensional Pose Estimation based on LS-SVM Error Compensation
    Li, Ronghua
    Hu, Yongfang
    Wen, Shuaifang
    Fan, Qingling
    2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2016, : 637 - 643
  • [32] Improved Edge Detection Based on LS-SVM
    Guo, Wei
    Jia, Zhenhong
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS, 2008, : 86 - 90
  • [33] Face Recognition Based on LFDA and LS-SVM
    Shen, Qi
    Liu, Ruixiang
    2009 SECOND INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY AND TRAINING, 2009, : 136 - +
  • [34] A CDMA signal receiver based on LS-SVM
    Fan Xiaogang
    Li Lei
    Chen Xiao
    PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 4, 2007, : 534 - +
  • [35] KPCA Based on LS-SVM for Face Recognition
    Xie Jianhong
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS, 2008, : 638 - 641
  • [36] Application of LS-SVM network in LDF forming process
    Lu, Zhongliang
    Li, Dichen
    Lu, Bingheng
    Zhang, Anfeng
    Hanjie Xuebao/Transactions of the China Welding Institution, 2010, 31 (12): : 9 - 12
  • [37] SOFT SENSING METHOD OF LS-SVM USING TEMPERATURE TIME SERIES FOR GAS FLOW MEASUREMENTS
    Xu, Weiqing
    Fan, Zichuan
    Cai, Maolin
    Shi, Yan
    Tong, Xiaomeng
    Sun, Junpeng
    METROLOGY AND MEASUREMENT SYSTEMS, 2015, 22 (03) : 383 - 392
  • [38] Research on soft sensing of CaO in raw meal of vertical mill based on LS-SVM
    Ji, Qiangqiang
    Xu, Lei
    Yu, Hongliang
    Wang, Xiaohong
    2020 35TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2020, : 599 - 603
  • [39] Soft Sensing for Dry Point of the Aviation Kerosene Based on PLS and LS-SVM Method
    Li, Qi
    Xie, Mengqi
    Du, Xiaodong
    Ba, Wei
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 3666 - 3671
  • [40] Estimation of GM(1,1) Model Parameters Based on LS-SVM Algorithm and Application in Load Forecasting
    Zhou, Deqiang
    INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT (EBM2011), VOLS 1-6, 2011, : 3538 - 3541
12345