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提出了一种基于小波包分析(WPA),经验模态分解(EMD)和快速傅里叶变换(FFT)的齿轮箱故障诊断方法,此方法适合于非线性非稳态信号的自适应分析.首先运用WPA对采集的齿轮箱振动信号进行分解可得到不同频率的子频带;然后对各子频带信号进行EMD,从而得到一定数量的本征模态函数(IMF);最后选取特定的IMF,对其作FFT可得到相应的功率谱,从而提取齿轮箱故障特征频率,进而对齿轮箱故障模式进行识别和诊断.分析结果表明本文所提议的方法能有效地检测出齿轮箱故障特征频率.
A gearbox fault diagnosis method based on Wavelet Packet Analysis (WPA), Empirical Mode Decomposition (EMD) and Fast Fourier Transform (FFT) is proposed. This method is suitable for the adaptive analysis of nonlinear unsteady signals. Firstly, WPA is used to decompose the vibration signals of the gearbox to obtain subbands with different frequencies. EMD is performed on each subband signal to obtain a certain number of intrinsic mode functions (IMFs). Finally, a specific IMF is selected for FFT is used to get the corresponding power spectrum, and then the characteristic frequency of gearbox fault is extracted, and then the gearbox fault mode is identified and diagnosed.The analysis results show that the proposed method can effectively detect the fault characteristic frequency of gearbox.