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Wind Turbine Condition Monitoring for Rotor Faults using MCSA

机译:使用MCSA的风轮机状态监测转子故障

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Condition monitoring method is suggested in this paper using Machine Current Signal Analysis (MCSA) for analyzing Rotor eccentricity fault in Wind Turbine Generator (WTG). The suggested method measures the current characteristic frequencies generated by the WTG. Extraction and investigation of the excitations that are generated by WTG eccentricity fault are carried under, full load, no load and varying conditions of wind on a designed and developed test rig. FFT approach is used to calculate the side-band and wavelet-based analysis is further used to examine fault frequencies. Mean power at different resolution levels has been used to measure the fault magnitude. Experimentally, it has been demonstrated that for variable wind conditions MCSA lets suitable discrimination of faulty and healthy situations that lead to an effective method of diagnosis for condition monitoring (CM) of wind turbine (WT).
机译:本文提出了一种利用机器电流信号分析(MCSA)的状态监测方法来分析风力发电机(WTG)的转子偏心故障。建议的方法测量由WTG生成的当前特征频率。由WTG偏心故障产生的激励的提取和研究是在满负荷,无负荷和风的变化条件下进行的,这是在设计和开发的试验台上进行的。 FFT方法用于计算边带,而基于小波的分析则进一步用于检查故障频率。已使用不同分辨率级别的平均功率来测量故障量。实验证明,对于变化的风况,MCSA可以对故障和健康状况进行适当的区分,从而为风轮机(WT)的状态监测(CM)提供一种有效的诊断方法。

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