转子裂纹识别仿真研究中的小波时频分析方法

Simulation Research on Wavelet Time-Frequency Analysis Algorithm in Identification of Rotor Crack

谐波共振是识别转子裂纹的重要依据 ,但由于转子裂纹的弱激励、非线性、非平稳等特性 ,导致利用传统信号处理方法不能准确有效地获取系统的谐波共振特性 ,从而难于识别出裂纹 ;小波时频分析方法是处理非线性、非平稳信号的强有力工具 ,将小波时频分析方法引入到裂纹识别的仿真研究中 ,基于建立的裂纹转子动力学模型 ,分析了利用小波时频分析方法识别裂纹的可行性。偏心激励转子裂纹故障识别的仿真研究表明了该方法的有效性。

Harmonic resonance is a key factor to identify the rotor crack. But due to non linearity and non stationary properties of the crack that make the traditional signal processing methods unable to acquire the harmonic resonance of the system, the rotor crack cannot be identified accurately. Wavelet time frequency analysis algorithm is a robust tool for processing of the non linear and non stationary signal, so it may be introduced into the simulation research on identification of the crack. Based on the modeled dynamic equation of the cracked rotor, the feasibility of using wavelet analysis algorithm to identify the crack is deduced. The simulation research on the identification of the crack in imbalance is successfully carried out, which expresses the validity of the method in identification of the rotor crack.