为准确识别电力变压器绕组模态参数，据某10 kV实体变压器绕组轴向激振实验结果，采用复Morlet小波对自由振动信号进行时频变换；使用改进的Crazy Climber算法提取时频图中小波脊线，获得变压器绕组前四阶固有频率及阻尼比，并将计算结果与PolyMax频域识别方法结果对比验证。结果表明，该方法能准确识别出变压器绕组前四阶固有频率，能更清晰显示信号能量随时间频率分布。基于复Morlet小波变换的模态参数识别方法抗干扰性能力较强，适合识别变压器绕组类复杂结构模态参数。%The complex Morlet wavelet was applied to analyze the free vibration signals in an axial excitation experiment of some 10kV power transformer winding.An improved Crazy Climber algorithm was designed and presented to extract the wavelet ridge of time-frequency spectrogram.Then the first four natural frequencies and its corresponding damping ratios were obtained successfully.The calculated results were also compared with the identification results calculated by the widely used frequency domain identification method of PolyMAX to illustrate the effectiveness of the proposed method.It is shown that the proposed method can accurately identify the first four natural frequencies,and the distribution of signal energy with time and frequency can be displayed more clearly.Furthermore,It is illustrated that the proposed method has strong anti-interference feature and can be applied effectively to identify the modal parameters of power transformer winding.
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