Joint time-frequency analysis and its application in the fault diagnosis of rolling-element bearing

被引：0
|
作者：
Fu, QY [1 ]
Wang, FL [1 ]
Li, MZ [1 ]
Peng, YC [1 ]
Xia, SB [1 ]
机构：
[1] Harbin Inst Technol, Harbin 150006, Peoples R China
来源：
CONDITION MONITORING '97 | 1997年
关键词：
joint time-frequency analysis; bearing fault diagnosis; short sample analysis;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The joint time-frequency analysis(JTFA) is a useful tool to deal with the time-varying signals. Based on the short rime Fourier transform, a new diagnostic method called short sample analysis(SSA) is proposed. Taking the high-frequency band of the spectrograms as the diagnostic band and collecting pulse energy in the band as the characteristic parameter, the shock pulses is exactly represented in time domain. The method yields an accurate and clear result, which is successfully used in Railway Rolling-element Bearing Fault Detect System. It is proved that the signal to noise ratio is high and the SSA makes the system convenient and reliable.
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页码：267 / 270
页数：4
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