首页|基于根部检测应力波动的风力发电机组叶片故障诊断研究

基于根部检测应力波动的风力发电机组叶片故障诊断研究

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针对风力发电机组的故障诊断问题,首先介绍了风力发电机组叶片的载荷模式及振动建模,然后介绍了叶片的特征故障振动机理.同时,引入直接检测方法,将应力传感器直接安装在机组的叶片根部,并检测应力波动的异常波动分量.结果表明,在不同风速条件下,3个叶片在旋转平面内的摆振频率均约为2.2 Hz,位于叶片的振动激励范围,引起较大波动.所提方法的故障诊断准确率高达98.69%,其在故障诊断中不易受信号干扰影响,且诊断准确性较高,为现代风力发电机组的安全运维提供了有效参考.
Research on Fault Diagnosis of Wind Turbine Blades Based on Root Detection Stress Fluctuations
Regarding the fault diagnosis of wind turbines,the load mode and vibration modeling of wind turbine blades were first introduced,and the characteristic fault vibration mechanism of the blades was described.At the same time,a direct detection method is introduced to install stress sensors directly at the root of the blades of the unit and detect abnormal fluctuation components of stress fluctuations.The results show that under different wind speed conditions,the oscillation frequency of the three blades in the rotating plane is about 2.2 Hz,which is within the vibration excitation range of the blades and causes significant fluctuations.The fault diagnosis accuracy of the proposed method is as high as 98.69%.It is not easily affected by signal interference in fault diagnosis and has high diagnostic accuracy,providing effective reference for the safe operation and maintenance of modern wind turbines.

leaf root detectionstress fluctuationswind turbinesfault diagnosis

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郑州国电机械设计研究所有限公司,河南 郑州 450000

叶片根部检测 应力波动 风力发电机组 故障诊断

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(17)