Modeling of Centrifugal Compressor Using RBF Neural Network Based on Cooperative Clustering

被引:0
作者
Wang Xiaogang [1 ]
Zhang Kunren [2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Key Lab Integrated Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
来源
PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年
关键词
Centrifugal compressor; Data-driven; RBFNN; Cooperative clustering; PREDICTION; SYSTEM;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In view of the difficulty in establishing a precise centrifugal compressor model in the practical industrial processes, the paper use process data and adopt data-driven modelling method to build up centrifugal compressor model based on RBF neural network; In the light of the difficulty in achieving RBF network's neurons theoretically, the collaborative clustering was adopted. Through an example, it is indicated that collaborative clustering solve the neurons of RBF network well and the constructed model has a good performance in predicting the important performance parameter of centrifugal compressor - pressure ratio, implying that the constructed data-driven model can act as an important tool to serve production process.
引用
收藏
页码:1362 / 1366
页数:5
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