Fault Diagnosis of Gearbox using EMD and Cepstrum Method based on LABVIEW

被引：0

作者：

Liu Zi-ran ^{[1
]}

Huang Jin-lai ^{[1
]}

Li Qi ^{[1
]}

Cheng Xiao-hui ^{[1
]}

Chen Ren-quan ^{[1
]}

机构：

[1] Henan Univ Technol, Sch Mech & Elect Engn, Zhengzhou 450007, Peoples R China

来源：

2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | 2016年

关键词：

LABVIEW; EMD; Cepstrum analysis; Gearbox;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Gearbox fault signal has non-stationary and non-linear features, conventional spectral analysis methods all have their own limitations. This paper presents the method of combining empirical mode decomposition (EMD) and cepstrum analysis, and develops a gearbox fault detection system based on LAB VIEW. Practical tests show that each signal could be decomposed into a number of intrinsic mode functions(lMFS) adaptive by the EMD, then do cepstrum analysis to the IMF that contains the main frequency components of the signal, you can visually identify the fault feature. The result shows that this system can detect Gearbox faults effectively.

引用

页码：968 / 971

页数：4

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