DocumentCode :
3504280
Title :
Modeling of centrifugal compressor using RBF neural network based on cooperative clustering
Author :
Wang Xiaogang ; Zhang Kunren
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume :
02
fYear :
2013
fDate :
16-18 Aug. 2013
Firstpage :
1362
Lastpage :
1366
Abstract :
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.
Keywords :
centrifuges; compressors; mechanical engineering computing; pattern clustering; production engineering computing; radial basis function networks; RBF network neurons; RBF neural network; centrifugal compressor modeling; collaborative clustering; cooperative clustering; data-driven modelling method; industrial process; performance parameter; pressure ratio; process data; production process; Adaptation models; Computational modeling; Neurons; Predictive models; TV; Vectors; Centrifugal compressor; Cooperative clustering; Data-driven; RBFNN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
Type :
conf
DOI :
10.1109/MIC.2013.6758212
Filename :
6758212
Link To Document :
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