In order to effectively identify and extract the composite fault characteristics of the gear transmission system, a composite fault diagnosis method combining nonlinear mode decomposition (NMD) and Teager energy operator demodulation is proposed. Because the envelope demodulation of Hilbert transform has the disadvantages of large amount of calculation and end effect, it uses Teager energy operator to solve the problem of large amount of calculation, and NMD solves the problem that the fault signal features is not easy to extract under the mode aliasing. First, the NMD method is used to decompose the fault simulation signal, and the nonlinear modal component with practical physical significance is obtained. Secondly, the Teager energy operator demodulation is carried out for the nonlinear modal components, and the demodulation results are analyzed to verify the feasibility of the method. Then, the method is applied to the composite fault diagnosis of gear pitting wear in gear transmission system, and the characteristic frequency obtained from the test data is compared with the calculated characteristic frequency. The comparative analysis shows that the method can separate the fault characteristic frequencies of large and small gears. The comparative analysis with EMD and EEMD methods in simulation signal analysis and experimental research shows that this method is superior.

为了有效地识别和提取齿轮传动系统的复合故障特征，提出了一种结合非线性模式分解（NMD）和Teager能量算子解调的复合故障诊断方法。由于希尔伯特变换的包络解调具有计算量大和端效应大的缺点，因此采用Teager能量算子来解决计算量大的问题，而NMD解决了故障信号特征不易提取的问题。模式别名。首先，采用NMD方法对故障仿真信号进行分解，得到具有实际物理意义的非线性模态分量。其次，对非线性模态分量进行Teager能量算子解调，分析了解调结果，验证了该方法的可行性。然后，将该方法应用于齿轮传动系统中齿轮点蚀磨损的复合故障诊断，并将从测试数据中获得的特征频率与计算出的特征频率进行比较。对比分析表明，该方法可以区分大，小齿轮的故障特征频率。在仿真信号分析和实验研究中与EMD和EEMD方法的比较分析表明，该方法是优越的。对比分析表明，该方法可以区分大，小齿轮的故障特征频率。在仿真信号分析和实验研究中与EMD和EEMD方法的比较分析表明，该方法是优越的。对比分析表明，该方法可以区分大，小齿轮的故障特征频率。在仿真信号分析和实验研究中与EMD和EEMD方法的比较分析表明，该方法是优越的。