Title :
Fault diagnosis for gearbox based on EMD and multifractal
Author :
Zhao Ling ; Chu Xiaoyan ; Huang Darong
Author_Institution :
Coll. of Inf. Sci. & Eng., Chongqing Jiaotong Univ., Chongqing, China
fDate :
May 31 2014-June 2 2014
Abstract :
The application of the multifractal theory in gearbox fault diagnosis has been studied in the paper, and the fractal characteristics of gearbox vibration signals is shown. Based on using EMD, the improved algorithm of multifractal spectrum is put forward, and is applying to extract the fault feature. At last, the fault diagnosis application in gear box takes as the example to prove the feasibility of the method.
Keywords :
condition monitoring; fault diagnosis; feature extraction; gears; mechanical engineering computing; signal processing; vibrations; EMD; fault diagnosis; fault feature; gearbox fault diagnosis; gearbox vibration signals; multifractal spectrum; multifractal theory; Correlation; Educational institutions; Fault diagnosis; Fractals; Gears; Time series analysis; Vibrations; EMD; fault diagnosis; multifractal;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852840
