DocumentCode
620497
Title
New dimensionless parameter construction using genetic programming for fault classifying of rotating machinery
Author
Qinghua Zhang ; Qin Hu ; Guoxi Sun ; Aisong Qin ; Xiaosheng Si
Author_Institution
Coll. of Comput. & Electron. Inf., Guangdong Univ. of Petrochem. Technol., Maoming, China
fYear
2013
fDate
25-27 May 2013
Firstpage
4400
Lastpage
4404
Abstract
In this paper, an approach to apply genetic programming in combination with dimensionless parameter of time domain is proposed. According to this approach, new dimensionless parameter is constructed. The effectiveness of the new dimensionless parameter is validated by an illustrative experiment. Experimental result shows that the classification ability of new dimensionless parameter is better than that of existing ones.
Keywords
fault diagnosis; feature extraction; genetic algorithms; machinery; mechanical engineering computing; parameter estimation; signal processing; time-domain analysis; classification ability; genetic programming; rotating machinery fault classification; time domain dimensionless parameter; Educational institutions; Genetic programming; Next generation networking; Shafts; Sociology; Statistics; Dimensionless parameters; Fault diagnosis; Genetic programming; Rotating machinery;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561726
Filename
6561726
Link To Document