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首页> 外文期刊>Mechanics & Industry >A hybrid method combining Teager Kaiser energy operator, empirical mode decomposition and minimum entropy deconvolution for monitoring gears damages
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A hybrid method combining Teager Kaiser energy operator, empirical mode decomposition and minimum entropy deconvolution for monitoring gears damages

机译:混合方法结合Teager Kaiser能量算子,经验模态分解和最小熵反卷积来监控齿轮损坏

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摘要

Amplitude demodulation is an essential tool for diagnosing gears faults. The quality of the demodulation determines the efficiency of the spectrum analysis in detecting the defect. A signal analysis technique combining minimum entropy deconvolution (MED), empirical mode decomposition (EMD) and Teager Kaiser energy operator (TKEO) is presented. The proposed method consists in enhancing the vibratory signal by using MED, decomposing this signal in intrinsic mode functions (IMF) and selects only the IMF which presents the highest correlation coefficient with the original signal. After that, TKEO is used to track the modulation energy. The spectrum is applied to the instantaneous amplitude. The simulation and experimental results show that an envelope spectrum analysis based on MED-EMD and TKEO provides a consistent signal analysis tool.
机译:幅度解调是诊断齿轮故障的重要工具。解调的质量决定了频谱分析检测缺陷的效率。提出了一种结合最小熵反卷积(MED),经验模态分解(EMD)和Teager Kaiser能量算子(TKEO)的信号分析技术。所提出的方法包括通过使用MED增强振动信号,以固有模式函数(IMF)分解该信号并仅选择与原始信号呈现最高相关系数的IMF。之后,TKEO用于跟踪调制能量。频谱被应用于瞬时振幅。仿真和实验结果表明,基于MED-EMD和TKEO的包络频谱分析提供了一致的信号分析工具。

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