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基于支持向量回归算法的汽轮机热耗率模型
引用本文:王雷,张欣刚,王洪跃,司风琪,徐治皋.基于支持向量回归算法的汽轮机热耗率模型[J].动力工程,2007,27(1):19-23,49.
作者姓名:王雷  张欣刚  王洪跃  司风琪  徐治皋
作者单位:东南大学,动力工程系,南京,210096
摘    要:利用支持向量回归算法,建立了汽轮机热耗率计算模型.介绍了支持向量回归算法的原理,对算法中的参数选择进行了探讨.对某300MW机组汽轮机热耗率计算进行了建模,并与RBF神经网络回归模型进行了比较.结果表明:基于支持向量回归算法的模型具有较强的泛化能力,适于在线应用.通过对输入参数添加随机扰动量分析表明,该模型比传统计算模型具有更好的稳定性,能更准确地计算汽轮机热耗率.

关 键 词:动力机械工程  汽轮机  热耗率  支持向量机  回归分析
文章编号:1000-6761(2007)01-019-05
修稿时间:2006-05-102006-07-17

Model for the Turbine Heat Rate Based on the Support Vector Regression
WANG Lei,ZHANG Xin-gang,WANG Hong-yue,SI Feng-qi,XU Zhi-gao.Model for the Turbine Heat Rate Based on the Support Vector Regression[J].Power Engineering,2007,27(1):19-23,49.
Authors:WANG Lei  ZHANG Xin-gang  WANG Hong-yue  SI Feng-qi  XU Zhi-gao
Affiliation:Department of Power Engineering WANG Hong-yue, SI Feng-qi, XU Zhi-gao , Southeast University, Nanjing 210096, China
Abstract:A calculation model of steam turbine heat rate is founded by using Support Vector Regression(SVR).The algorithm of SVR is represented and parameter selection of the algorithm is discussed.Calculation model of heat rate for a 300 MW steam turbine is built,which is compared with the model of hear rate based on RBF.It is indicated that the model based on SVR has more forcible generalization ability and can be applied on-line.The analyzing through adding a random distrubance quantity to input parameter indicates that this model has better stability than conventional method and can calculate the heat rate of steam turbine more accurately.It is an effective method for modeling the operating performance of the steam turbine.Figs 5,table 1 and refs 8.
Keywords:power and mechanical engineering  steam turbine  heat rate  support vector machine  regression analysis
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