Gearbox Fault Diagnosis Based on Multi-fractal

被引:0
|
作者
Wang Tian-Hong [1 ]
Yuan Gui-Li [2 ]
Lan Zhong-Fu [2 ]
机构
[1] Chinese Power Complete Equipment Co Ltd, Beijing 100080, Peoples R China
[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
关键词
Multi-fractal; Eliminate Trend Analysis; Fault Diagnosis; Vibration; Feature Extraction; NONSTATIONARY TIME-SERIES; DECOMPOSITION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The multi-fractal analysis methods of nonlinear theory was adopted to extract multi-fractal characteristics of nonstationary vibration signals of the gear box under a variety of complex fault states, and training a variety of neural network to the classification of the composite fault signal. The experimental results show that the multi-fractal characteristics of extraction has a good degree of differentiation, combined with a neural network is an effective method of gearbox vibration signal analysis.
引用
收藏
页码:3298 / 3302
页数:5
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