Feature extraction of rotor fault based on wavelet analysis

被引：0
|
作者：
Wang, Xuejun [1 ]
Ma, Hui [1 ]
Sun, Wei [1 ]
Wen, Bangchun [1 ]
机构：
[1] Northeastern University, Shenyang 110004, China
来源：
Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery | 2008年 / 39卷 / 04期
关键词：
Failure (mechanical) - Failure analysis - Frequency bands - Rotating machinery - Rotors - Wavelet analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Mother wavelet function 'db12' was adopted for rotor fault with different rub-impact degrees. The displacement signals were decomposed into 6 levels. Reassigned Morlet wavelet scalogram has been used to extract fault features for wavelet frequency bands with obvious time-frequency features. The decomposed signals in different decomposed levels together with their frequency-band energy ratios were discussed in details. The results showed that fault features could be extracted well by combining two mother wavelet functions and frequency-band energy plot in different rub-impact conditions. In the stage of slight rub-impact, high and low frequency components are all small; in the stage of moderate rub-impact, stable X/2 based harmonic components occured and in the stage of serious rub-impact, the energy of harmonic components are greater than rotational frequency and reached the maximum.
引用
收藏
页码：147 / 151
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