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Gear fault diagnosis of wind turbine generator system based on lifting wavelet- zooming envelope analysis

机译:基于提升小波-缩放包络分析的风力发电机组齿轮故障诊断

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摘要

Aiming at the gearbox fault characteristic of wind turbine generator system, a new synthetical diagnosis method is put forward. In this method, the signal firstly is transformed using lifting wavelet, and the transformation result is analyzed by using FFT, FFT-FS zooming and envelope spectrum. At last, the vibration signals on an experiment platform are tested using this method. The result shows that the method is more effective than traditional methods.
机译:针对风力发电机组齿轮箱的故障特征,提出了一种新的综合诊断方法。在这种方法中,首先使用提升小波对信号进行变换,然后使用FFT,FFT-FS缩放和包络谱对变换结果进行分析。最后,使用该方法对实验平台上的振动信号进行了测试。结果表明,该方法比传统方法更有效。

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