A Novel Method for Fault Diagnosis of Planetary Gearbox

被引：0
|
作者：
Liu, Huiling [1 ]
Zhang, Jianguo [1 ]
机构：
[1] Jinzhong Univ, Sch Mech Engn, Jinzhong 030619, Peoples R China
来源：
PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2018) | 2018年 / 127卷
关键词：
planetary gearbox; fault diagnosis; modeling; empirical mode decomposition; rough set;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The transmission path of planetary gearbox is complex and the fault signal can easily be submerged in the noise signal, so a novel method for fault diagnosis of planetary gearboxes was proposed in the paper, which combined the simulation modeling with the sensor signal processing. Through the dynamic modeling and simulation of the planetary gearbox, it was found that the frequency domain characteristic parameters of the simulation signal can identify different types of sun gear failures. The practical signals were analyzed by the methods of the local wave decomposition, approximate entropy, rough set theory. The minimal fault characteristic parameter set of planetary gearboxes was obtained. The results show that the minimal fault feature parameter set can diagnose different fault types quickly and efficiently with the accuracy of up to 95%.
引用
收藏
页码：164 / 168
页数：5
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