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离散小波包分析在非平稳信号处理中的应用 被引量:2

Application of Discrete Wavelet Packet in Signal Processing
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摘要 用离散小波包将振动信号分解到不同的频带,然后对感兴趣的频带补零重构提高缺陷信号 的时频分辨率.对306滚动轴承的保持架缺陷作出了实际诊断,诊断结果与理论较为符合,证明离 散小波包是一种有效的弱信号提取与诊断方法. Vibration signal is decomposed to different frequency bands by discrete wavelet packet;and then zero is added to the interested frequency band to reconstruct the defect signal,in that way higher time and frequency resolution are obtained.The diagnosis result of the holder defect of 306 rolling bearing coincides with theory according to discrete wavelet packet,so as to testify that the method is effective to the extraction and diagnosis of the weak signals of defects.
出处 《三峡大学学报(自然科学版)》 CAS 2005年第1期52-54,共3页 Journal of China Three Gorges University:Natural Sciences
基金 国家自然基金项目(50275111) 三峡大学重大科技项目(2003C05)
关键词 离散小波 时频分辨率 非平稳信号 弱信号 补零 频带 缺陷 诊断结果 处理 诊断方法 discrete wavelet packet wavelet reconstruction rolling bearing signal processing
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参考文献1

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同被引文献20

  • 1范海宁,郭英,吴剑锋,陈志武.基于小波包分解的声信号特征提取方法[J].现代电子技术,2005,28(4):20-21. 被引量:11
  • 2(美)Martin T H,Howard B D,Mark H B著.戴葵等译.神经网络设计[M].北京:机械工业出版社,2006.197-210.
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