Time-frequency Features of Signal Analysis and Its Application in Mechanical Fault Diagnosis

被引：4

作者：

Luo, Zhonghui ^{[1
]}

Xiao, Qijun ^{[2
]}

机构：

[1] Guangdong Polytech Normal Univ, Mech & Elect Dept, Guangzhou 510635, Guangdong, Peoples R China

[2] Zhaoqing Univ, Fac Elect Informat & Mech Elect Engn, Zhaoqing 526061, Peoples R China

来源：

RESEARCH IN MATERIALS AND MANUFACTURING TECHNOLOGIES, PTS 1-3 | 2014年 / 835-836卷

基金：

中国国家自然科学基金;

关键词：

Time-frequency; features extraction; wavelet transform; fault diagnosis;

D O I：

10.4028/www.scientific.net/AMR.834-836.1065

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The early fault detection of mechanical equipment is the technical support of automation equipment to run efficiently. Because of various faults have the characteristics of sudden, transient degeneration, so the traditional Fourier transform based on signal processing method can't meet the needs of the transient signal. This paper discusses time-frequency analysis technology of local wave from signal denoising, signal singularity detection and signal frequency band energy distribution analysis to extract the transient signal characteristics, and the motor bearing fault is put forward as an example, the effectiveness of the proposed method is verified.

引用

页码：1065 / +

页数：2

共 7 条

[1]

Bu L.L., 2008, J HARBIN U SCI TECHN, V13, P82

[2]

Hu G. S., 2011, MODERN SIGNAL PROCES

[3] The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].

Huang, NE ;

Shen, Z ;

Long, SR ;

Wu, MLC ;

Shih, HH ;

Zheng, QN ;

Yen, NC ;

Tung, CC ;

Liu, HH .

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995

[4]

Li Shu-jin, 2007, Journal of Wuhan University, V28, P78

[5]

[马辉 Ma Hui], 2007, [振动与冲击, Journal of Vibration and Shock], V26, P61

[6]

Tian S.B., 2011, J QINGDAO TECHNOLOGI, V26, P23

[7]

Zhang Y., 2006, MICROCOMPUTER INFORM, V22, P113

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