DocumentCode
2233886
Title
Gearbox feature extraction and fault diagnosis based on blind source separation
Author
Jinying, Huang ; Lijun, Liu ; Hongxia, Pan ; Baozhen, Cui
Author_Institution
Sch. of Mech. Eng. & Autom., North Univ. of China, Taiyuan, China
Volume
5
fYear
2010
fDate
20-22 Aug. 2010
Abstract
In this paper, SOBI blind source separation algorithm is applying to extract the fault feature of gearbox vibration signal. It is Tested and verified by BP neural network for fault diagnosis. The result shows that the fault feature extraction method based on blind source separation for gearbox fault diagnosis is very effective.
Keywords
backpropagation; blind source separation; fault diagnosis; feature extraction; gears; mechanical engineering computing; neural nets; BP neural network; blind source separation; fault diagnosis; fault feature extraction method; gearbox feature extraction; second order statistics model; Gears; Helium; Teeth; SOBI algorithm; blind source separation; fault diagnosis; feature extraction; gearbox;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579799
Filename
5579799
Link To Document