DocumentCode
2667744
Title
Recognition of pump state by RBF neural network
Author
Wu, Jimei ; Wu, Qiumin
Author_Institution
Dept. of Printing Eng., Xi´´an Univ. of Technol.
fYear
0
fDate
0-0 0
Firstpage
224
Lastpage
227
Abstract
The arising of neural network theory is a breakthrough from machine processing to man´s thinking mode. On the basis of the traditional BP and RBF neural network, this article applies a new algorithm user-defined step radial basis function to recognize ZYB03-60 vacuum air press pump. It turns out that the algorithm can train studying-speed faster and it is of good self-adaptation to data
Keywords
mechanical engineering computing; radial basis function networks; vacuum pumps; RBF neural network; pump state recognition; user-defined step radial basis function; vacuum air press pump; Blades; Character recognition; Frequency; Friction; Monitoring; Neural networks; Printing; Pumps; Temperature; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO). 2005 IEEE International Conference on
Conference_Location
Shatin
Print_ISBN
0-7803-9315-5
Type
conf
DOI
10.1109/ROBIO.2005.246267
Filename
1708626
Link To Document