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根据谐波小波良好的正交性、频域内的“盒形”谱特性和简单明了的时、频域数学表达式,利用FFT算法实现不同尺度下振动信号的谐波小波分析,它摆脱了Mallat塔形算法的约束,保证了不同尺度下不同频道信号的采样频率和数据长度与原始信号相同。因而,可以实现不同尺度下转子轴心轨迹分析,为回转机械具有非平稳、非线性响应类故障的深化识别,提供了一个新的分析工具
According to the good orthogonality of harmonic wavelets, the box-shaped spectral characteristics in the frequency domain and the mathematical expressions in time and frequency domain in the frequency domain, the harmonic wavelet analysis of vibration signals at different scales is realized by using the FFT algorithm. It gets rid of Mallat The constraints of the tower algorithm ensure that the sampling frequency and data length of the signals of different channels under different scales are the same as those of the original signal. Therefore, it is possible to realize the trajectory analysis of the rotor axis under different scales and provide a new analysis tool for deepening the recognition of the non-stationary and non-linear responses of rotating machinery