针对目前利用振动信号对变转速情况下风电机组齿轮箱诊断不佳的问题,提出一种基于转子绕组电流的双馈风电机组齿轮箱阶次跟踪与故障诊断方法。首先,通过优化变分模态分解算法分析双馈异步风力发电机（DFIG）转子绕组电流,获得滤波后的电流信号。然后,采用同步提取变换方法对转子绕组电流进行时频分析,基于提取的电流信号时频脊线和转子绕组电流估计转频原理,计算DFIG转子的瞬时转频。根据齿轮箱之间传动比,推导出行星齿轮箱输出端轴承转频。最后,对采集的行星齿轮箱振动信号进行等角度重采样,通过获得的稳态角域信号进行包络阶次谱分析,实现对双馈风电机组齿轮箱的故障诊断。
Abstract
In response to the prevalent challenges of diagnosing gearbox faults in wind turbine systems under variable speed conditions using vibration signals, this paper proposes a novel method based on rotor winding current for order tracking and fault diagnosis in doubly-fed wind turbine gearboxes. Initially, the rotor winding current of the doubly-fed induction wind generator （DFIG） is processed using an optimized variational mode decomposition algorithm, obtaining the filtered current signal. Then, a synchronous extraction transformation method is applied for time-frequency analysis of the rotor winding current. Based on the time-frequency ridge line of the extracted current signal and the estimated rotation frequency principle of the rotor winding current, the instantaneous rotation frequency of the DFIG rotor is calculated. According to the transmission ratio between gearboxes, the rotation frequency of the output shaft bearing of the planetary gearbox is derived. Finally, the collected vibration signals from the planetary gearbox are resampled at equal angles, and through the obtained steady-state angular domain signals, envelope order spectrum analysis is performed to achieve fault diagnosis of gearboxes in doubly-fed wind turbine units.
关键词
风电机组 /
齿轮箱 /
故障诊断 /
阶次跟踪 /
转子绕组电流
Key words
wind turbines /
gearbox /
fault diagnosis /
order tracking /
rotor winding current
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基金
国家自然科学基金（52275109）; 河北省自然科学基金（E2022502007）; 保定市科技计划基础研究专项基金（2172P010）; 河北省研究生创新能力培养资助项目（CXZZBS2025196）
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