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Time-frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions

机译:非迭代工况下基于迭代广义解调的时频解调分析

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The vibration signal of planetary gearboxes exhibits the characteristics of both amplitude modulation (AM) and frequency modulation (FM), and thus has a complex sideband structure. Time-varying speed and/or load will result in time variant characteristic frequency components. Since the modulating frequency is related to the gear fault characteristic frequency, the AM and FM parts each alone contains the information of the gear fault. We propose a time-frequency amplitude and frequency demodulation analysis metbhod to avoid the complex time-variant sideband analysis, and thereby identify the time-variant gear fault characteristic frequency. We enhance the time-frequency analysis via iterative generalized demodulation (IGD). The time-varying amplitude and frequency demodulated spectra have fine time-frequency resolution and are free of cross term interferences. They do not involve complex time-variant sidebands, thus considerably facilitating fault diagnosis of planetary gearboxes under nonstationary conditions. The method is validated using both numerically simulated data and experimental signals.
机译:行星齿轮箱的振动信号同时具有振幅调制(AM)和频率调制(FM)的特性,因此具有复杂的边带结构。时变的速度和/或负载将导致时变特征频率分量。由于调制频率与齿轮故障特征频率相关,因此AM和FM部件各自单独包含齿轮故障的信息。为了避免复杂的时变边带分析,提出一种时频幅值和频率解调分析方法,从而确定时变齿轮故障特征频率。我们通过迭代广义解调(IGD)增强了时频分析。随时间变化的幅度和频率解调频谱具有良好的时频分辨率,并且没有交叉项干扰。它们不涉及复杂的时变边带,因此极大地促进了非平稳条件下行星齿轮箱的故障诊断。该方法已使用数值模拟数据和实验信号进行了验证。

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