ONLINE MONITORING OF BOILER LOW TEMPERATURE SUPERHEATER SURFACE POLLUTION BASED ON SVM
The combustion of zhundong coal,which was rich in sodium and potassium,caused severe ash fouling in low temperature superheater.In this paper,according to the reason of the low temperature superheater ash fouling,the suitable characteristic parameters were selected,and a lot of relevant data were obtained from DCS system.A support vector machine model based on particle swarm optimization was proposed to predict the clean heat transfer in low temperature superheater surface using real operation data.In addition,the model was applied to the low temperature superheater of a 330MW unit and had a good prediction effect.The maximum accuracy rate reached above 99%.Finally,a clean curve was drawn according to the historical data of one day,and it can reflect the low temperature superheaters pollution well.
Zhundong coal fouling clean heat transfer low temperature superheater SVM
Yonggang Zhao Yang Bai Yuhui Chen Haiping Xiao Zhizhong Kang Baomin Sun
Shenhua group technology research institute,Xi an City,Shanxi Province 710065,China North China Electric Power University,Beijing 102206,China
国际会议
吉林
英文
27-30
2018-06-23（万方平台首次上网日期，不代表论文的发表时间）