DocumentCode
176720
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
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
3792
Lastpage
3796
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852840
Filename
6852840
Link To Document