评判燃煤锅炉结渣特性的两种模式识别方法的对比  

Comparison of Two Pattern Recognition Models in Predicting and Determining the Slagging State of Coal Burning Boilers

作　　者：文孝强[1] 刘彦臣[1] 关晓辉[1] 

机构地区：[1]东北电力大学,吉林吉林132012

出　　处：《东北电力大学学报》2009年第2期24-28,共5页Journal of Northeast Electric Power University

基　　金：国家重点基础研究发展规划基金项目(2007CB206904)

摘　　要：将直接模糊模式识别方法和基于Vague集的距离意义下相似度量理论引入燃煤锅炉结渣评判中。评判结果表明,二模型能较好的解决了误判断或因识别结果无显著差异而无法作出明确评判的问题。与通常模式识别方法相比,此方法所得数据结果能够使现场运行人员比较容易地得出当前运行锅炉的结渣状况。To predicte and determine the state of slagging of coal burning boilers, the direct fuzzy pattern recognition model and the model based on distance measures of similarity between Vague sets（values） were applied. Through the experiment of predicting and determining the state of slagging of four coal burning boilers, it proves that misidentification caused by resemblant memership degree and diseased symptoms has been avoided. Compared with the normal method of pattern-recoguition, it is easier for field operators to predict, determine and reduce disturbance most possibly.

关 键 词：模糊模式识别 VAGUE集 相似度 结渣 评判 锅炉 

分 类 号：TK223[动力工程及工程热物理—动力机械及工程]