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自适应线调频基原子分解方法研究

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  • 发布时间:2014-03-15
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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),lo- cal mean decomposition(LMD) and Wigner-Ville distribution(WVD). The analysis results of a gear- box vibration signals prove the effectiveness of the method.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。

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