ZHAO Naizhuo,ZHAO Yumeng,MEN Chengfu. Research of early fault feature extraction of solar wheel based on parametric adaptive ICEEMDAN and MCKD[J]. Journal of Mechanical Strength,2025,47(6):57-65.
ZHAO Naizhuo,ZHAO Yumeng,MEN Chengfu. Research of early fault feature extraction of solar wheel based on parametric adaptive ICEEMDAN and MCKD[J]. Journal of Mechanical Strength,2025,47(6):57-65. DOI: 10.16579/j.issn.1001.9669.2025.06.007.
RESEARCH OF EARLY FAULT FEATURE EXTRACTION OF SOLAR WHEEL BASED ON PARAMETRIC ADAPTIVE ICEEMDAN AND MCKD
MCKD)的太阳轮早期故障特征提取方法。采用newGWO优化影响其分解效果的白噪声幅值权重和噪声添加次数的参数选择,对故障振动信号进行newGWO-ICEEMDAN,选择最小包络熵为适应度函数,由此得到若干相关模态分量;然后以包络谱谱峰因子为选取最佳模态分量指标,对选定的最佳本征模态函数(Intrinsic Mode Function
In order to solve the problem of difficult to accurately extract early faults of solar wheels under the strong noise background
an improved grey wolf algorithm (newGWO) was proposed to optimize and improve the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and the maximum correlated kurtosis deconvolution (MCKD) for early fault feature extraction of solar wheels.NewGWO was used to optimize the selection of parameters of the white noise amplitude weight and noise addition times that affected the decomposition effect.The fault vibration signal was decomposed by newGWO-ICEEMDAN
and the minimum envelope entropy was selected as the fitness function to obtain several related modal components.Then
the envelope spectrum peak factor was selected as the best modal component index.MCKD signals optimized by newGWO were enhanced for the selected optimal intrinsic mode function (IMF) components. Finally
an envelope demodulation analysis was performed on the obtained signals to extract the solar wheel fault characteristic frequency and multiple frequency components. Simulation signals and experiments show that this method can make the early fault impact characteristics more obvious
and realize the early fault characteristic frequency extraction of solar wheels.
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