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齿轮振动信号特征的小波包频率表示法
引用本文:孔凡让,朱忠奎,羊拯民,俞巧云,殷明华,王建平.齿轮振动信号特征的小波包频率表示法[J].振动.测试与诊断,2004,24(2):103-105.
作者姓名:孔凡让  朱忠奎  羊拯民  俞巧云  殷明华  王建平
作者单位:1. 中国科学技术大学精密机械与精密仪器系,合肥,230026
2. 合肥工业大学机械与汽车工程学院,合肥,230009
基金项目:国家高校博士点基金资助项目 (编号 :2 0 0 2 0 35 80 6 3)
摘    要:通过对信号的小波包分解的研究.提出了信号特征的小波包频率表示方法.表示信号对分解节点和频率的功率谱分布;同时提出以小波包频率表示为依据的特征信号重建方法。齿轮振动信号特征的小波包频率表示表明该表示方法能有效展示齿轮的技术状况的变化。将功率谱集中的相邻的结点上的分解结果重构,得到的时域特征信号也能展示齿轮的技术状况。

关 键 词:功率谱  信号  特征  小波包分解
修稿时间:2002年12月23

Analysis of Features of Gear Vibration Signal Based on Wavelet Packet Frequency Representation
Kong Fanrang,Zhu Zhongkui,Yang Zhengmin,Yu Qiaoyun,Yin Minghua,Wang Jianping.Analysis of Features of Gear Vibration Signal Based on Wavelet Packet Frequency Representation[J].Journal of Vibration,Measurement & Diagnosis,2004,24(2):103-105.
Authors:Kong Fanrang  Zhu Zhongkui  Yang Zhengmin  Yu Qiaoyun  Yin Minghua  Wang Jianping
Affiliation:Kong Fanrang 1 Zhu Zhongkui 1 Yang Zhengmin 2 Yu Qiaoyun 1 Yin Minghua 1 Wang Jianping 1
Abstract:Based on the study of wavelet packet decomposition,a wavelet packet frequency representation(WPFR)of the features of a signal is presented to show the distribution of the power spectrum of the wavelet packet decomposition of the signal to its decomposition nodes,and a feature signal reconstruction method is then proposed based on the WPFR.Applications of the WPFR to gear vibration signals show the effectiveness of the representation in gear conditions.The decompositions into certain adjacent nodes with concentrated power spectrum are re constructed to obtain a feature signal in the time domain,which also demonstrates the gear conditions effectively.
Keywords:power spectrum  signal  feature  wavelet packet decomposition
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