Fault feature extraction method based on SVD and optimal Morlet wavelet

被引：0
|
作者：
Wei, Jun-Hui [1 ]
Feng, Chang-Lin [1 ]
机构：
[1] Naval Academy of Armament, Beijing,100161, China
来源：
Binggong Xuebao/Acta Armamentarii | 2015年 / 36卷
关键词：
Bandwidth parameters - Fault feature extractions - Feature extraction methods - Impact components - Morlet Wavelet - Science and Technology - Shannon wavelet - Simulation and analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In order to extract effectively the weak fault feature in the strong noise, a new feature extraction method based on singular value decomposition (SVD) and optimal Morlet wavelet is presented. The method selects the valid singular values according to the curvature of singular value. It resolves the problem of the auto-selection of valid singular values. Additionally, Shannon wavelet entropy is used to optimize the bandwidth parameter of Morlet wavelet to optimally match the mother wavelet with the impact component. The simulation and analysis results of rolling bearing signals show that the proposed method could effectively extract the weak fault feature. © 2015, China Ordnance Society. All right reserved.
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页码：215 / 219
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