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Research on judging of combustion stability for utility boiler based on Support Vector Machines
Author(s): 
Pages: 51-55
Year: Issue:  4
Journal: JOURNAL OF NORTH CHINA ELECTRIC POWER UNIVERSITY

Keyword:  电站锅炉火焰信号燃烧稳定性模式分类支持向量机交叉验证;
Abstract: 以某600MW单元机组锅炉运行时的火焰信号为分析对象,利用支持向量机研究了锅炉燃烧稳定性判别问题.提取了火检信号的均值、方差、峰峰值和均匀度等4个特征量,然后比较了采用3种不同核函数的支持向量机对同一火检信号样本组的训练效果,其中模型参数通过交叉验证的方法确定.分析表明,径向基核支持向量机判别准确率最高.最后测试结果验证了支持向量机用于火焰燃烧稳定性判别,具有很好的分类和泛化能力.
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