[1] 刘祥官,曾九孙,郝志忠,等.多模型集成的高炉炼铁智能控制专家系统[J].浙江大学学报:工学版,2007, 41 (10): 16371642.
LIU Xiangguan, ZENG Jiusun, HAO Zhizhong, et al. Multimodel integrated intelligent control expert system for blast furnace ironmaking [J]. Journal of Zhejiang University: Engineering Science, 2007, 41(10): 16371642.
[2] WEN L, BAI C, OU Y. Radiant image simulation of pulverized coal combustion in blast furnace raceway [J]. International Journal of Iron and Steel Research, 2006, 13 (2): 1821.
[3] CHU M, YANG X, SHEN F, et al. Numerical simulation of innovative operation of blast furnace based on multifluid model [J]. International Journal of Iron and Steel Research, 2006, 13 (6): 815.
[4] 姚滨,杨天均,杨尚宝,等.边界元方法建立高炉炉缸炉底侵蚀模型[J].北京科技大学学报,1999, 21(3): 231233.
YAO Bin, YANG Tianjun, YANG Shangbao, et al. Mathematical model for prediction of erosion of bottom of blast furnace by BEM [J]. Journal of University of Science and Technology Beijing, 1999, 21(3): 231233.
[5] CASTRO J, NOGAMI H, YAGI J. Transient mathematical model of blast furnace based on multifluid concept, with application to high PCI operation [J]. Iron and Steel Institute of Japan International, 2000, 40 (7): 637646.
[6] 梁栋,白晨光,邱贵宝,等.高炉炉况的智能化判断方法[J].钢铁研究学报,2006,18 (9): 5658.
LIANG Dong, BAI Chenguang, QIU Guibao, et al. Research on intelligence diagnose method for blast furnace operation [J]. Journal of Iron and Steel Research, 2006, 18 (9): 5658.
[7] 牛卫军,张晓亮.安钢6号高炉处理异常炉况的技术分析[J].江西冶金,2007,27(4): 1517.
NIU Weijun, ZHANG Xiaoliang. Analysis on disposal of abnormal furnace condition technology of Anyang Steel’s No.6 BF [J]. Jiangxi Metallurgy, 2007, 27(4): 1517.
[8] 涂春林,毕学工,周勇.高炉炉顶温度分布模式识别神经元网络的研究[J].河南冶金,2004, 12(1): 1013.
TU Chunlin, BI Xuegong, ZHOU Yong. Study on neural network for the recognition of blast furnace top temperature distribution [J]. Henan Metallurgy, 2004, 12(1): 1013.
[9] 徐永华,吴敏,曹卫华,等.高炉温度场的红外图像识别检测方法及应用[J].控制工程,2005,12(4): 354356.
XU Yonghua, WU Min, CAO Weihua, et al. Measurement of the temperature profile based on infrared image processing and its application in blast furnace [J]. Control Engineering of China, 2005, 12(4): 354356.
[10] MATSUZAKI S, ITO M, ICHIDA M, et al. Development of visual evaluation and numerical analysis system of blast furnace[C]∥2006 TMS Fall Extraction and Processing Division: Sohn International Symposium. San Diego, CA, United States: Minerals, Metals and Materials Society, 2006: 255268.
[11] ASHISH J, SASWATI P, SANDILYA P. A reduced order thermochemical model for blast furnace for real time simulation [J]. Computers and Chemical Engineering, 2007, 31(2): 14841495.
[12] 韩崇昭,朱洪艳,段战胜,等.多源信息融合[M].北京:清华大学出版社,2006: 7892.
[13] 安剑奇,吴敏,何勇,等.基于专家评估和信息融合的高炉料面温度场智能建模[J].计算机与应用化学,2008,25(7): 782786.
AN Jianqi, WU Min, HE Yong, et al. Intelligent modeling based on expert evaluation and information fusion for burden surface temperature field of blast furnace [J]. Computers and Applied Chemistry, 2008, 25(7): 782786.
[14] 许永华.基于料面温度场和布料模型的高炉煤气流分布在线检测方法及应用[D].长沙:中南大学,2007.
XU Yonghua. Online detecting method for gas flow distribution based on temperature profile and burden distribution model and its application in a blast furnace [D]. Changsha: Central South University, 2007.
[15] POLAT K, AKDEMIR B. Computer aided diagnosis of ECG data on the least square support vector machine [J]. Digital Signal Processing, 2008, 11(1): 2532.
[16] 林伟青,傅建中,许亚洲,等.基于最小二乘支持向量机的数控机床热误差预测[J].浙江大学学报:工学版,2008,42 (6): 905908.
LIN Weiqing, FU Jianzhong, XU Yazhou, et al. Thermal error prediction of numerical control machine tools based on least squares support vector machines [J]. Journal of Zhejiang University: Engineering Science, 2008, 42 (6): 905908. |