风电机组主轴总成窜动监测与故障预警

Monitoring and fault warning of main shaft assembly runout of wind turbine

风电机组主轴总成窜动故障是风电场发生频次较高、危害性较大的一类故障模式,目前对其监测的方法效率低,测量精度差。对此提出一种高效的主轴总成窜动在线监测技术,并开发了相应的监测装置和预警系统,现场实现了对风电机组主轴总成窜动位移的实时在线监测和预警。采用合理安装激光位移传感器,获得主轴总成窜动监测数据,通过时间序列预测方法对其进行分析,建立主轴总成窜动的ARMA模型。实际案例应用表明,该监测系统能对主轴总成窜动的发展趋势进行预测,可及时掌握主轴总成窜动状态,提前发现其异常或劣化趋势,当判断主轴总成有较大可能发生窜动故障时给出预警信息,避免主轴总成故障的产生和蔓延,保障机组安全稳定运行。

The main shaft assembly runout of wind turbine is a kind of fault mode with high frequency and great fault harm in wind farms. At present, the method for detecting the runout displacement of the main shaft assembly in wind farm has the shortcomings of low detection efficiency and poor measurement accuracy. To solve this problem, an efficient on-line monitoring technology for detecting the runout displacement of the main shaft assembly is proposed, and the corresponding monitoring device and early warning system is developed to realize the real-time and on-line monitoring of the runout displacement of the main shaft assembly. The monitoring data of the main shaft assembly runout is obtained by installing laser displacement sensor reasonably, and then the data is analyzed by time series prediction method, and the ARMA model of the main shaft assembly runout is established.The actual application shows that, by predicting the development trend of the runout displacement of the main shaft assembly, the runout state of the main shaft assembly can be grasped in time and its abnormality or deterioration trend can be detected in advance, thus the early warning information can be given when it is judged that the main shaft assembly is likely to have runout fault. Therefore, the generation and spread of the runout fault can be avoided and the safe and stable operation of wind turbine can be ensured.