中国机械工程 ›› 2012, Vol. 23 ›› Issue (24): 2976-2983.

• 机械基础工程 • 上一篇    下一篇

自适应线调频基原子分解方法研究

吴雪明;于德介;陈向民   

  1. 湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
  • 出版日期:2012-12-25 发布日期:2013-01-06
  • 基金资助:
    国家自然科学基金资助项目(50875078);国家高技术研究发展计划(863计划)资助项目(2009AA04Z414);高等学校博士学科点专项科研基金资助项目(20090161110006) 
    National Natural Science Foundation of China(No.50875078);
    National High-tech R&D Program of China (863 Program) (No. 2009AA04Z414);
    Research Fund for the Doctoral Program of Higher Education of China(No. 20090161110006)

Research on Adaptive Chirplet Atomic Decomposition Method

Wu Xueming;Yu Dejie;Chen Xiangmin   


  1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha,410082
  • Online:2012-12-25 Published:2013-01-06
  • Supported by:
     
    National Natural Science Foundation of China(No.50875078);
    National High-tech R&D Program of China (863 Program) (No. 2009AA04Z414);
    Research Fund for the Doctoral Program of Higher Education of China(No. 20090161110006)

摘要:

提出了一种新的多分量非平稳信号分解方法——自适应线调频基原子分解方法。该方法能自适应地将一个复杂信号分解为若干个具有一定物理意义的PF分量,其中每个PF分量为一个包络信号和一个纯调频信号的乘积。与经验模式分解、局部均值分解和Wigner-Ville分布对仿真信号分析结果进行对比,结果表明,该方法具有良好的时频聚集性和较高的抗噪性能与分析精度,不存在二次型时频分布干扰,非常适用于非平稳振动信号的分解。对齿轮箱振动信号的分析结果验证了该方法在工程应用中的有效性。

关键词: 原子分解, 自适应线调频基, 非平稳信号, 齿轮箱

Abstract:

A new atomic decomposition method based on adaptive chirplet for multi-component non-stationary signals was proposed herein.This method can decompose in adaptive mode a complex signal into several PF(production function) components,each of which was the product of an envelope signal and a pure frequency-modulated signal.Favorable aggregation of time-frequency,strong noise immunity and no quadric time-frequency interference term made the method more preponderant to decompose non-stationary vibration signals compared with   empirical mode decomposition(EMD),local mean decomposition(LMD) and Wigner-Ville distribution(WVD).The analysis results of a gearbox vibration signals prove the effectiveness of the method.

Key words: atomic decomposition, adaptive chirplet, non-stationary signal, gearbox

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