ART-2神经网络在水泥窑况识别中的应用  

APPLICATION OF ART- 2 NEURAL NETWORK IN THE CEMENT ROTARY KILN- SATTUS

作　　者：孙莉[1] 李琳琳[1] 

机构地区：[1]山东协和学院机电工程学院,济南250107

出　　处：《山东师范大学学报（自然科学版）》2015年第4期77-81,共5页Journal of Shandong Normal University(Natural Science)

基　　金：山东省高等学校科技计划项目（J15LN51）.

摘　　要：针对水泥烧成过程具有强耦合、大时滞、非线性、多变量等特性，分析风、煤、料与窑速对回转窑系统的影响，应用ART-2神经网络识别主要工艺参数的变化趋势，实现对窑况的智能识别；同时对次要工艺参数进行模糊化，以IF—THEN语句进行推理，完成窑况的判断，并针对窑况给出合理的生产操作建议．实验性运行表明，通过对ART-2神经网络的研究，其特性在识别中具有较好的效果，适合回转窑窑况的识别．The sintering process of the cement has the non - linearity, the multivariable, the close coupling, and the big time lag characteristics. We analyze the influence of the wind, the coal, the material and the kiln speed in the rotary kiln system. The ART -2 neural network is used to recognize the change tendency of main craft parameter, and the intelligent recognition of the kiln - status is realized. The judgment of the kiln - status is completed by carring on the fuzzy to the secondary craft parameter and the inference by the IF -THEN sentence. The rensonable operation advice for kiln - status is thus given. Through the research of the ART - 2 neural network, discover that the characteristic of ART - 2 neural network is discovered to have the good effect in the recognition, and suits the recognition kiln- status of the rotary kiln system.

关 键 词：回转窑 神经网络 窑况识别 模糊 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]