基于转速估计的阶次分析风电齿轮箱故障诊断

Fault diagnosis technology of wind turbine planetary gearbox based on order analysis of rotation speed estimation

  • 摘要: 风电齿轮箱工作在变转速工况条件下,齿轮箱的振动信号具有受多分量调制以及故障特征频率遭受转频调制的特点。针对该特点导致的齿轮箱故障特征识别困难的问题,提出了一种基于转速估计阶次分析的风电机组行星齿轮箱故障诊断方法。通过分析风电机组齿轮箱的结构和故障特点选择传感器测点,并根据齿轮箱振动频率范围完成传感器的选型工作,在上述工作的基础上搭建监测系统,采集齿轮箱工作状态下的振动信息,并对实际现场采集的振动数据进行转速估计和阶次分析,以提取齿轮箱的故障特征阶次,完成故障诊断。该方法经过风场实际验证可知故障诊断准确率达到84%,比传统快速傅里叶变换(Fast Fourier Transform,FFT)分析方法提高了8%,可以满足现场实际工程需要。

     

    Abstract: Wind power gearboxes work under variable speed conditions. The vibration signal of the gearbox has the characteristics of being multi-component modulation and the characteristic frequency of the fault being subjected to frequency modulation. Aiming at the problem of difficult identification of gearbox fault characteristics caused by this feature, a method for fault diagnosis of wind turbine planetary gearbox based on order analysis of speed estimation is proposed. Select the sensor measurement points by analyzing the structure and fault characteristics of the wind turbine gearbox, and complete the selection of the sensor according to the gearbox vibration frequency range, build a monitoring system on the basis of the above work, and collect the vibration of the gearbox under working conditions Information, and perform rotation speed estimation and order analysis on the vibration data collected on the actual site to extract the order of fault characteristics of the gearbox and complete the fault diagnosis. This method has been verified by the wind farm, and the fault diagnosis accuracy rate reaches 84%, which is 8% higher than the traditional FFT spectrum analysis method, which can meet the actual engineering needs of the site.

     

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