基于WATD双谱分析的风电轴承故障特征提取研究

Fault feature extraction for bearings of wind turbine based on WATD bispectrum analysis

针对风电机组轴承动态信号的强干扰、非平稳、非高斯、非线性特性和有效提取故障特征困难的问题,提出了基于WATD双谱分析的特征提取方法,以实现风电轴承故障特征的有效提取。基于Matlab软件平台,对该方法进行了分析、测试和仿真验证,结果表明,该方法更加快速、有效,为风力发电机组工程的故障诊断技术提供了理论依据。

Fault diagnosis for bearings is the key to ensure the reliable operation of wind turbine as the large rotating machinery, and the fault feature extraction is the core of fault diagnosis technology. According to the characteristics of wind turbine bearing dynamic signal with strong interference, non- stationary,non Gauss and non-linear, and has trouble in extracting fault characteristics, a feature extraction method based on WATD and bispectrum analysis for wind turbine bearings is proposed. By the Matlab software platform, this method is analyzed, tested and simulated to verify its feasibility. The comparative analysis results show that this method is more rapid and effective,and provide a theoretical basis for the fault diagnosis of wind turbine in practical engineering.