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

机译:基于小波包和小波岭分解的信号解调方法及应用

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摘要

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.
机译:旋转机械中的振动信号是非平稳且非线性的。针对这种现象,提出了一种基于小波包分解和小波岭的解调方法。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。用小波包能量法确定能量最多的频段。之后,提取相应的分解系数以重构信号。此外,小波岭方法被用来解调重建的信号。从包络谱中有效提取了故障特征频率,用于判断工作条件和故障类型。最后对轴承内圈和外圈的故障信号进行了深入分析。结果表明,该方法可以有效地提取故障信号的特征频率。

著录项

  • 来源
    《Journal of information and computational science》 |2015年第6期|2155-2164|共10页
  • 作者单位

    Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University, Qinhuangdao 066004, China,Key Laboratory of Advanced Forging & Stamping Technology and Science (Ministry of Education of China), Yanshan University, Qinhuangdao 066004, China;

    Beijing Power Equipment Group, Beijing 102401, China;

    Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University, Qinhuangdao 066004, China,Key Laboratory of Advanced Forging & Stamping Technology and Science (Ministry of Education of China), Yanshan University, Qinhuangdao 066004, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fault Diagnosis; Wavelet Packet Decomposition; Wavelet Ridge; Signal Reconstruction; Characteristic Frequency;

    机译:故障诊断;小波包分解;小波岭信号重建;特征频率;

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