A Method and Application of Signal Demodulation Based on Wavelet Packet and Wavelet Ridge Decomposition

Siyuan Liu
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Abstract

Vibration signals are non-stationary and nonlinear in rotating machinery. Aiming at this phenomenon, a demodulation approach based on wavelet packet decomposition and Wavelet Ridge was proposed in this paper. The frequency range where energy was concentrated in was acquired through the power spectrum of fault vibration signal. Then the number of layers decomposed by the wavelet packet was determined, according to the determinate bandwidth. And the wavelet packet energy method was used to ascertain the frequency band containing the most energy. Afterwards the corresponding decomposition coefficients were extracted to reconstruct the signal. Moreover, the Wavelet Ridge method was employed to demodulate the reconstructed signal. The fault characteristic frequency was effectively extracted from envelope spectrum and utilized to judge the working conditions and fault type. At last, a deeply analyze on fault signals of bearing inner ring and outer ring was carried out. Results show that this proposed method can effectively extract the characteristic frequency of fault signal.
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基于小波包和小波脊分解的信号解调方法及应用
旋转机械的振动信号是非平稳的、非线性的。针对这一现象,提出了一种基于小波包分解和小波脊的信号解调方法。通过故障振动信号的功率谱获取能量集中的频率范围。然后根据确定的带宽,确定小波包分解的层数。利用小波包能量法确定了含能量最大的频带。然后提取相应的分解系数重构信号。在此基础上,采用小波脊法对重构信号进行解调。从包络谱中有效提取故障特征频率,用于判断故障工况和故障类型。最后,对轴承内圈和外圈故障信号进行了深入分析。结果表明,该方法能有效地提取故障信号的特征频率。
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