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.
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;
Conference_Titel :
Robotics and Biomimetics (ROBIO). 2005 IEEE International Conference on
Conference_Location :
Shatin
Print_ISBN :
0-7803-9315-5
DOI :
10.1109/ROBIO.2005.246267
