DocumentCode
3418206
Title
Research on parameters identification based on adline neural network for characteristic equation of pump
Author
Wu, Qinghui ; Yu, Zhongdang ; Ding, Shuo ; Yang, Youlin
Author_Institution
Coll. of Eng., Bohai Univ., Jinzhou, China
fYear
2011
fDate
19-21 Oct. 2011
Firstpage
553
Lastpage
556
Abstract
The digitization of the pump characteristic curve between lift and flow rate is crucial for state detection, fault diagnosis and optimal control of large watering and drainage system in modern industry. In this paper, the characteristic equation of pump is analyzed, an adline neural network is designed for parameters identification for the pump characteristic equation. The proposed scheme solves the question how to measure the characteristic equation in arbitrary speed, raises the identification precise with adaptive filtering, learning, and approaching function of adline neural network. The experiment results confirm its feasibility and effectiveness.
Keywords
mechanical engineering computing; neural nets; parameter estimation; pumps; adaptive filtering; adline neural network; drainage system; fault diagnosis; learning; optimal control; parameters identification; pump characteristic curve; pump characteristic equation; state detection; watering system; Biological neural networks; Equations; Fitting; Frequency measurement; Pumps; Training; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-61284-374-2
Type
conf
DOI
10.1109/IWACI.2011.6160070
Filename
6160070
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