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首页> 外文期刊>IEEE Transactions on Industrial Electronics >Bearing Corrosion Failure Diagnosis of Doubly Fed Induction Generator in Wind Turbines Based on Stator Current Analysis
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Bearing Corrosion Failure Diagnosis of Doubly Fed Induction Generator in Wind Turbines Based on Stator Current Analysis

机译：基于定子电流分析的风力涡轮机双馈感应发生器轴承腐蚀衰竭诊断

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摘要

Bearing failure often occurs in doubly fed induction generator (DFIG)-based wind turbines which are usually subject to electrical corrosion effects. Fault diagnosis method based on electrical signals has been paid much attention as the method is noninvasive and cost-effective. This paper describes the use of the modulation signal bispectrum (MSB) detector for diagnosing bearing faults in DFIGs of wind turbines. The major theoretical principles involved with the MSB method are presented and it is shown how the amplitude and phase relationships of the stator current signals caused by torque oscillations can be effectively revealed. Since the MSB result is obtained by averaging results from each record, overlapped segmentation is proposed to improve computational accuracy with limited data. On-site experimental results obtained from 1.5-MW wind turbines corroborate that these faults can be detected, in the current MSB, by the identification of a spectral component at the fundamental frequency and the characteristic frequency. Compared with the other data processing methods based on second-order cumulants, the MSB detector can avoid misdiagnosis by containing phase information of stator current. Owing to relatively high accuracy, the proposed current-based MSB method can identify incipient bearing corrosion failure in DFIG-based wind turbines without additional sensors, which also has great potential in other industrial applications.
机译：轴承故障通常发生在双馈感应发电机（DFIG）的基于电动涡轮机中，这通常受电腐蚀效应。基于电信号的故障诊断方法已经得到了很多关注，因为该方法是非侵入性和成本效益。本文介绍了调制信号BISPectrum（MSB）检测器用于在风力涡轮机的DFIG中诊断轴承故障。提出了MSB方法的主要理论原理，并示出了如何有效地揭示由扭矩振荡引起的定子电流信号的幅度和相位关系。由于通过从每个记录的平均结果获得MSB结果，提出了重叠的分割，以提高数据的计算精度。从1.5MW风力涡轮机获得的现场实验结果证实了这些故障在当前MSB中可以通过以基频和特征频率的识别识别光谱分量。与基于二阶累积物的其他数据处理方法相比，MSB检测器可以通过容纳定子电流的相位信息来避免误诊。由于相对高的精度，所提出的基于电流的MSB方法可以识别基于DFIG的风力涡轮机中的初始轴承腐蚀失效，而无需额外的传感器，在其他工业应用中也具有很大的潜力。

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