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

页码：147 / 151

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