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
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;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579799
