Comparison study on synchrosqueezed wavelet transform and hilbert-huang transform

被引：0
作者：
Xiong, Xin [1 ]
Zhan, Rui [1 ]
Wang, Xiaojing [1 ]
机构：
[1] Department of Mechanical Engineering and Automation, Shanghai University, Shanghai
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2015年 / 35卷 / 06期
关键词：
Feature extraction; Hilbert-Huang transform; Rotating machinery; Synchrosqueezed wavelet transform; Time-frequency analysis;
D O I：
10.16450/j.cnki.issn.1004-6801.2015.06.016
中图分类号：
学科分类号：
摘要：
The empirical mode decomposition (EMD) substitutes a signal's average value with its envelope mean in a numerical algorithm, which causes a mode mixing problem and introduces analytical error. The synchrosqueezed wavelet transform (SWT) first reallocates the energy distribution according to the element modulus in the time-scale plane, then projects the time-scale domain onto the time-frequency plane to obtain more concentrated frequency curves. The SWT's orthogonality along with its data-driven nature not only reduces the mode mixing effect but also improves the time-frequency resolution. The multi-component simulation example proves SWT's superior capacity for time-frequency characterization. A segment of misaligned displacement signal in rotating machinery is also tested. The energy distribution resulting from the SWT has sharper resolution in the time-frequency plane, in which the feature components are all concentrated in their time and frequency positions. Its outstanding characteristics make it a powerful tool for the condition monitoring and fault diagnosis of mechanical equipment. © 2015, Nanjing University of Aeronautics an Astronautics. All right reserved.
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页码：1103 / 1109
页数：6
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