Bearing Fault Detection Using Envelope Spectrum Based on EMD and TKEO

被引：20
|
作者：
Hui, Li [1 ]
Zheng, Haiqi [2 ]
机构：
[1] Shijiazhuang Inst Railway Technol, Dept Electromech Engn, Shijiazhuang, Hebei, Peoples R China
[2] Shijiazhuang Mech Engn Coll, Dept 1, Shijiazhuang, Hebei, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS | 2008年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/FSKD.2008.63
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A signal analysis technique for bearing fault detection based on Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO) is presented EMD can adaptively decompose vibration signal into a series of zero mean Amplitude Modulation-Frequency Modulation (AM-FM Intrinsic Mode Functions (IMfs). TKEO tracks the modulation energy of the interesting Intrinsic Mode Functions (IMFs) and estimates the instantaneous amplitude at any time instant. In the end, the envelope spectrum is applied to the instantaneous amplitude. Therefore, the character of the bearing faults can be recognized according to the envelope spectrum. The experimental results show that envelope spectrum analysis based on END and TKEO provide a viable signal analysis tool for bearing fault monitoring.
引用
收藏
页码：142 / +
页数：2
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