火力发电机组锅炉结渣预测方法的新进展  

New Advances of the Methods of Predicting the Slagging Characteristic of Thermal Power Plants

作　　者：陈立军[1] 文孝强[2] 王强[2] 王恭[2] 孙灵芳[2] 刘广生[2] 杨善让[2] 

机构地区：[1]华北电力大学动力工程学院,河北保定071003 [2]东北电力学院自动化工程学院,吉林吉林132012

出　　处：《东北电力学院学报》2005年第4期5-10,共6页Journal of Northeast China Institute of Electric Power Engineering

摘　　要：主要论述了国内外在燃煤锅炉结渣特性的评判方法方面的新进展,从单指标和综合评判角度阐述了各评判方法及其优缺点,同时分析了各评判方法的评判准确率不高的原因,提出了改进的意见和建议,为今后确定锅炉结渣预测方法的发展方向提供了依据。This paper mainly contributes an open comment on new advances both at home and abroad in predictihg slagging characteristic of fuel-coal boiler, discusses the characteristic, merits and faults of the methods from the single-judging indicator and multi-judging indicator and analyzed the reasons leading to lowering of prediction veracity. Some advice and suggestions were also presented. It is expected that the methods mentioned could provide others instructions.

关 键 词：锅炉 结渣特性 预测 燃煤特性 人工神经网络 

分 类 号：TK223.21[动力工程及工程热物理—动力机械及工程]