Recognition and its application of boiler operation pattern based on self-organizing characteristic map

被引:0
|
作者
Chen, H [1 ]
He, ZW [1 ]
Tang, SL [1 ]
机构
[1] Chongqing Univ, Coll Power Engn, Chongqing 630044, Peoples R China
关键词
boiler; pattern recognition; self-organizing map;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy-loss pattern recognition of boiler operation is a basic content of boiler operation economy diagnosis. In this paper, an expression way of boiler operation pattern, the construction of operation pattern eigenvector, the operation pattern recognition method and its application are discussed. The expression way of boiler operation pattern based on operating condition vector and operating parameter vector is proposed, and a generalized eigenvector of boiler operation pattern recognition is constructed. Besides, the influence of real operating condition on the characteristic of energy-loss pattern is well considered. Furthermore, a boiler operation pattern recognition model based on Self-Organizing feature Map network is presented. In addition, according to the inherent characteristic of boiler operation energy-loss pattern recognition, a concept of redundancy characteristic parameter is proposed. The identification ability of this model is improved obviously. In this paper, the result of instances proved that this method is effective.
引用
收藏
页码:546 / 550
页数:5
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