Shock-chain Detection Method for Fault Diagnosis of Wind Turbine Pitch Bearing
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摘要: 通过研究风力机变桨轴承的结构和运转条件,本文发现随着叶轮的转动,变桨轴承的滚动体与滚道的四个接触点交替接触,这使得滚动体在滚道上连续滚动的时间较短。本文通过在叶轮不旋转时采集变桨轴承振动信号,得到滚动体在滚道上较长时间连续滚动的振动信号。通过分析变桨轴承故障振动信号的特征,得到了其冲击振动规律,提出了在时域波形中自动识别冲击振动及其近似周期性的冲击链检测方法。应用结果表明,冲击链检测方法能够有效地自动检测变桨轴承的局部故障以及滚道内存在异物的状态。Abstract: By studying structure and operating conditions of wind turbine pitch bearings, it is found that rolling elements and race ways take contacting alternately at two contact points of the four contact points as the impeller rotates, which leads to short duration of rolling elements continuous contacting with certain contact point. So it is proposed to collect vibration signals of pitch bearings when impeller is locked. In this case, the time of rolling elements continuous contacting with certain contact point is longer. Vibration signals of fault pitch bearings are analyzed. It shows that shock vibration caused by faults doesn't have strict periodicity. A shock-chain method which based on automatically detecting shock vibration and its approximate periodicity for detecting faults is proposed. Practical applications show that this fault detecting method can automatically detect local faults and hard debris in raceway.
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Key words:
- wind turbine /
- pitch bearing /
- fault diagnosis /
- shock-chain /
- vibration
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表 1 变桨轴承尺寸参数
节径 滚动体直径 接触角 单列滚动体数 1 900 mm 40 mm 45° 124 表 2 变桨轴承故障特征倍频
内环特征倍频 外环特征倍频 滚动体特征倍频 62.46 61.54 47.49 -
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