最小二乘支持向量机在煤着火特性研究中的应用  

Application of Least Squares Support Vector Machine in the Research of Coal Ignition Characteristics

作　　者：常爱英[1] 吴铁军[1] 包鑫[1] 

机构地区：[1]浙江大学工业控制技术国家重点实验室,杭州310027

出　　处：《动力工程学报》2010年第12期909-913,共5页Journal of Chinese Society of Power Engineering

基　　金：国家自然科学基金资助项目(60804010)

摘　　要：为避免煤热失重反应静态燃烧过程获取的燃烧参数与实际锅炉动态燃烧之间的误差,以及解决沉降炉实验工作量大、难以对所有煤种进行试验的问题,利用最小二乘支持向量机建立了煤粉着火特性模型,通过对热失重反应过程的机理分析确定最佳输入变量,并进行仿真实验.结果表明:利用热失重反应过程数据预测煤着火性能具有较高的预测精度,可以在实际中应用,指导大型电站锅炉及燃烧装置的设计和运行.In order to reduce the error between coal combustion parameters respectively obtained from static coal combustion of thermo-gravimetric reaction and dynamic coal combustion of actual boiler,and to solve the problems of the subsiding furnace,such as heavy workload and difficulty in testing with all the coal ranks,a model for ignition characteristics of pulverized coal was set up by use of least squares support vector machine.Optimum input variables were determined by mechanism analysis for thermo-gravimetric process of the coal,while simulating experiments carried out.Results show that it has high prediction accuracy by using the data obtained from the thermo-gravimetric process to predict the ignition characteristics of coal,and the model can be applied to actual design and operation of large-scale power boilers.

关 键 词：煤粉 着火温度 沉降炉 最小二乘支持向量机 

分 类 号：TK16[动力工程及工程热物理—热能工程]