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在齿轮故障诊断中，振动信号解调分析是一种很有效的方法。本文在分析调幅调相信号检波解调分析原理的基础上，讨论了该类算法软件实现过程中产生的混频效应，指出信号在检波解调过程中经过非线性变换后将包含高频成分，有可能发生明显的混频，导致得出错误的解调信号。通过合理地选择采样频率及分析算法中低通滤波器的截止频率或采用较高的采样频率能有效地消除这种混频效应对解调的影响，最后以仿真数据及实验论证了这些结论。
In the gear fault diagnosis, vibration signal demodulation analysis is a very effective method. Based on the analysis of demodulation principle of AM demodulation, this paper discusses the mixing effect produced by this kind of algorithm, and points out that after the signal demodulation process, the signal will contain high frequency components, It is possible that significant mixing can occur, leading to incorrect demodulation signals. By choosing reasonable sampling frequency and analyzing the cut-off frequency of the low-pass filter in the algorithm or using a higher sampling frequency, the effect of the mixing effect on the demodulation can be effectively eliminated. Finally, the simulation data and experiments demonstrate these conclusions.