Neural network control system for rotary kiln based on features of combustion flame

被引：0
|
作者：
Li, Shu-Tao [1 ]
Wang, Yao-Nan [1 ]
Zhang, Chang-Fan [1 ]
机构：
[1] Coll. of Elec. and Info., Hunan Univ., Changsha 410082, China
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2002年 / 28卷 / 04期
关键词：
Algorithms - Control systems - Feature extraction - Functions - Fuzzy sets - Image processing - Neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A neural network control system for rotary kiln based on features of combustion flame is proposed. The system consists of two main parts. One is status recognition system of calcine band flame, which is composed of image capturing, preprocessing, segmentation, feature extraction and pattern recognition. The other is neural network control system using Gaussian potential function network(GPFN). The practical operating results illustrate effectiveness and practicability of the proposed system.
引用
收藏
页码：591 / 595
相关论文
共 50 条
  • [41] Diagnosis of diesel combustion system based on neural network
    Zhang, Laibin
    Liu, Shoudao
    Wang, Zhaohui
    Neiranji Xuebao/Transactions of CSICE (Chinese Society for Internal Combustion Engines), 2000, 18 (04): : 370 - 374
  • [42] Model reference neural network control for boiler combustion system
    Dong, XC
    Wang, HB
    Zhao, XX
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 4694 - 4698
  • [43] Neural Network Based Robust Variable Structure Control of Wood Drying Kiln
    Hu, Qinglei
    Cao, Jun
    Sun, Liping
    Liu, Yaqiu
    CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 4828 - 4833
  • [44] Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral
    Li, Weitao
    Wang, Dianhui
    Chai, Tianyou
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2012, 8 (04) : 780 - 790
  • [45] Supervisory control for rotary kiln temperature based on reinforcement learning
    Zhou, Xiaojie
    Yue, Heng
    Chai, Tianyou
    Fang, Binhao
    INTELLIGENT CONTROL AND AUTOMATION, 2006, 344 : 428 - 437
  • [46] Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln
    Li, Weitao
    Mao, Kezhi
    Zhou, Xiaojie
    Chai, Tianyou
    Zhang, Hong
    PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 398 - 403
  • [47] Neural-Network-Based Active Vibration Control of Rotary Machines
    Piramoon, Sina
    Ayoubi, Mohammad
    IEEE ACCESS, 2024, 12 : 107552 - 107569
  • [48] Rotary Kiln Flame Image Segmentation Based on FCM and Gabor Wavelet Based Texture Coarseness
    Sun, Peng
    Chai, Tianyou
    Zhou, Xiao-jie
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 7615 - 7620
  • [49] Improving the rotary kiln-electric furnace process for ferronickel production: Data analytics-based assessment of dust insufflation into the rotary kiln flame
    Romero, Johanna M.
    Pardo, Yuleisy S.
    Parra, Maricel
    Castillo, Andy De J.
    Maury, Heriberto
    Corredor, Lesme
    Sanchez, Ivan
    Rueda, Bernardo
    Gonzalez-Quiroga, Arturo
    ALEXANDRIA ENGINEERING JOURNAL, 2022, 61 (04) : 3215 - 3228
  • [50] Support Vector Machine Model Based Predictive PID Control System for Cement Rotary Kiln
    Li, Zheng
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 3117 - 3121
12345