Comparison of Methods for Time-frequency Analysis of Oil Whip Vibration Signal

被引：0

作者：

Ling Xiang ^{[1
]}

Hao Sun ^{[1
]}

机构：

[1] N China Elect Power Univ, Dept Mech Engn, Baoding 071003, Hebei Province, Peoples R China

来源：

MECHATRONICS AND INTELLIGENT MATERIALS, PTS 1 AND 2 | 2011年 / 211-212卷

关键词：

Signal processing; time-frequency analysis; oil whip; fault diagnosis; TRANSFORM;

D O I：

10.4028/www.scientific.net/AMR.211-212.983

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The signal analysis is important in extracting fault characteristics in fault diagnosis of machinery. To deal with non-stationary signal, time-frequency analysis techniques are widely used. The experiment data of oil whip vibration fault signal were analyzed by different methods, such as short time Fourier transform (STFT), Wigner-Ville distribution (WVD), Wavelet transform (WT) and Hilbert-Huang Transform (HHT). Compared with these methods, it is demonstrated that the time-frequency resolutions of SIFT and WVD were inconsistent, which were easy to cross or make signal lower. WT had distinct time-frequency distribution, but it brought redundant component. HHT time-frequency analysis can detect components of low energy, and displayed true and distinct time-frequency distribution. Therefore, it is a very effective tool to diagnose the faults of rotating machinery.

引用

页码：983 / 987

页数：5

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