NOx Concentration Prediction in Flue Gas of Coal-fired Boiler Based on Dynamic Relevance Vector Regression
Aiming at the high nonlinearity,strong correlation and dynamic characteristics of the NOx generation process,a prediction model of flue gas NOx concentration based on mutual information(MI)and dynamic relevance vector regression(DRVR)is proposed in this paper.Relying on the historical operating data of a 660MW coal-fired boiler,an iterative rele-vance vector regression model is established.Through comparison and analysis with RVR model,ANN model,ELM model and DSVR model,the proposed NOx concentration prediction model has good dynamic tracking performance and high pre-diction accuracy,which provides a basis for boiler combustion parameter adjustment and SCR system optimization.
NOx concentration predictionmutual informationiterative relevance vector regressiondenitration system
万方数据
