Noise variance estimate for blast furnace temperature of hot metal based on Autoregressive model in presence of noise

被引：0
|
作者：
Zhang, Yong [1 ,2 ]
Zhao, Zhe [1 ]
Cui, Guimei [1 ]
机构：
[1] Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Baotou 014010, Peoples R China
[2] Northeastern Univ, State Key Lab Synthetically Automat Proc Ind, Shenyang 110819, Peoples R China
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
Parameter Estimate; Noise Variance; Noisy AutoRegressive (AR) Model; Blast Furnace; PARAMETER-ESTIMATION; SYSTEMS; ALGORITHM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Noise variance is an important variable for data filtering. In order to estimate the noise variance of hot iron temperature in process of blast furnace (BF) ironmaking, this work will study parameter estimate of AutoRegressive (AR) process in presence of noise based on BF observed data. Furthermore, a given instrumental variable choosing method and recursive least squares algorithm will be delivered in this paper. The proposed method requires loose assumptions, which are more close to the data fact in blast furnace ironmaking process. Finally, noise variance estimate results are shown by simulation tests.
引用
收藏
页码：6461 / 6465
页数：5
相关论文
共 50 条
  • [31] On feature selection and blast furnace temperature tendency prediction in hot metal based on SVM-RFE
    Wang, Yi-Kang
    Liu, Xue-Yi
    Zhang, Bao-Lin
    2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC), 2018, : 371 - 376
  • [32] Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine
    Wang Z.-Y.
    Jiang D.-W.
    Wang X.-D.
    Zhang J.-L.
    Liu Z.-J.
    Zhao B.-J.
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2021, 43 (04): : 569 - 576
  • [33] MODEL INVESTIGATIONS OF HOT-METAL FLOW IN THE BLAST-FURNACE HEARTH
    GUDENAU, HW
    BASTECK, A
    SCHEIWE, M
    STAHL UND EISEN, 1991, 111 (04): : 149 - 159
  • [34] Dynamic Grey Model for Forecasting Silicon Content in Blast Furnace Hot Metal
    Liu, Xueyi
    Wang, Wenhui
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 1900 - 1904
  • [35] Spatiotemporal Network model for Prediction of Silicon Content in Hot Metal of Blast Furnace
    Jiang, Meng
    Deng, Qiyuan
    Dong, Zhiming
    Wang, Xianpeng
    2024 6TH INTERNATIONAL CONFERENCE ON DATA-DRIVEN OPTIMIZATION OF COMPLEX SYSTEMS, DOCS 2024, 2024, : 767 - 772
  • [36] Image noise variance estimation using the mixed lagrange time-delay autoregressive model
    Sim, K. -S.
    Tso, C. -P.
    Law, K. -K.
    MICROSCOPY RESEARCH AND TECHNIQUE, 2008, 71 (04) : 315 - 324
  • [37] Pattern trees modeling for prediction and control of hot metal temperature in blast furnace ironmaking
    Zhang, Xinmin
    Kano, Manabu
    Matsuzaki, Shinroku
    2017 11TH ASIAN CONTROL CONFERENCE (ASCC), 2017, : 2292 - 2297
  • [38] Prediction of Hot Metal Silicon Content in Blast Furnace based on EMD and DNN
    Wang Hongwu
    Yang Genke
    Pan Changchun
    Gong Qingsong
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 8214 - 8218
  • [39] Prediction of blast furnace temperature based on the distributed parameter model
    Chen, Ming
    Yin, Yi-Xin
    Zhu, Qiao
    Zhang, Hai-Gang
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2014, 31 (09): : 1232 - 1237
  • [40] Identification of Autoregressive Systems in Noise Based on a Ramp-Cepstrum Model
    Fattah, S. A.
    Zhu, W. -P.
    Ahmad, M. O.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2008, 55 (10) : 1051 - 1055
12345