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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561726
