基于谱峭度的风力发电机组轴承故障诊断方法

Fault Diagnosis Method of Bearing in the Wind Turbine Generator Set Based on Spectral Kurtosis

针对直驱风力发电机组低速主轴承故障特征难以提取的问题,应用谱峭度和共振解调的方法,增强故障特征。共振解调方法的难点在于带通滤波通频带的确定。采用谱鞘度的方法,寻找最优带通滤波频带对产生异响的信号进行滤波,滤波处理后的信号进行包络解调,获得功率谱,从功率谱发现了转频及倍频的存在,同时提取了滚动体故障频率,有效提取了故障特征,与现场一致。

It is difficult to extract the fault feature of low-speed main bearing in the direct-drive wind power generation set, and one method is to apply spectral kurtosis and resonance demodulation to enhanced fault feature. The difficulty of the resonance demodulation method is to determine the passband of bandpass. Using spectral sheath method to find the optimal frequency band to filter the signal that generated abnormal noise, and use envelope demodulation method to process the filter-processed signal to obtain the power spectrum. The frequency conversion and frequency doubling was found from power spectrum, and failure frequency of the roiling element were extracted, and effectively extract the fault feature, which is consistent with the site.