鉴于压气机失速特征分析通常借助时域信号或傅里叶变换频域信号完成,较难捕捉其瞬态特征,为此将具备辨识信号瞬时细节特征的小波分析法引入轴流压气机旋转失速的特征分析中,基于节流阀模型,对某跨声速压气机转子进行了准三维非定常数值模拟,并对压气机在失速过程中静压信号的瞬时细节特征进行了小波分析.结果表明:给出的分析方法能够有效地捕捉到压气机稳态失速和动态失速过程的时频特征,可应用于压气机失速特征信号的检测和分析.
Because it is difficult to catch the transient feature of stall in compressor with the traditional method of time domain analysis or frequency domain analysis based on fast Fourier transform(FFT),so wavelet analysis that can identify signal instantaneous characteristics was introduced for analysis of rotating stall in axial compressor.Based on a throttle model,quasi three dimensional simulations of unsteady flow in a transonic compressor rotor were performed.The time-frequency features of static pressure signals were analyzed by using the method of wavelet analysis.It is found that wavelet analysis can effectively figure out the transient feature during rotating stall.The wavelet analysis is available to detect and analyze the instability signal of rotating stall in compressor.