基于线性相位的风机齿轮箱无键相同步平均分析

发布时间：2018-02-03 18:30

本文关键词： 风机齿轮箱无键相时域同步平均　出处：《可再生能源》2015年12期 　论文类型：期刊论文

【摘要】：风电机组转速信号多由发电机编码器提供,由于SCADA与CMS存在时间差和采样率差异,难以实现高速轴键相信号与齿轮箱振动信号的同步采集。基于时域同步平均的阶次分析技术较难在风机齿轮箱故障诊断领域得到大范围应用,提出了以线性相位估计为基础的、可适应转速波动为10%的风机齿轮箱无键相同步平均分析方法。选择输出级啮合频带中信噪比最高频段,利用傅里叶FIR"理想"滤波技术,实现严格线性相位保持的窄带滤波;通过希尔伯特变换提取带通信号复相位,并进一步通过线性插值合成过零点序列;以此为基础,完成基于软件的等角度重采样,进而实现无键相的时域同步平均分析。在某型号机组连续10 s的现场实测数据中,有效地验证了所提方法正确性和工程实用性。
[Abstract]:The speed signal of wind turbine is provided by generator encoder, because of the difference of time and sampling rate between SCADA and CMS. It is difficult to realize synchronous acquisition of high-speed shaft keys and gear box vibration signals. The order analysis technology based on time-domain synchronous averaging is difficult to be widely used in fault diagnosis of fan gearbox. Based on linear phase estimation and adaptive to speed fluctuation of 10%, this paper presents an analysis method of key-free phase synchronization average of fan gearbox, and selects the highest frequency band of signal-to-noise ratio (SNR) in the output stage meshing band. The narrow band filter with strict linear phase keeping is realized by using Fourier FIR "ideal" filtering technique. The complex phase of band-pass signal is extracted by Hilbert transform, and the 00:00 sequence is synthesized by linear interpolation. On this basis, the software based equal angle resampling is completed, and then the time domain synchronous average analysis without bond phase is realized. The correctness of the proposed method and the engineering practicability are verified effectively.
【作者单位】：华南理工大学风电控制与并网技术国家地方联合工程实验室;华南理工大学广东省绿色能源技术重点实验室;
【基金】：国家自然科学基金(61273172) 国家科技支撑计划课题(2015BAA06B00)
【分类号】：TM315
【正文快照】： 0引言齿轮箱是风力发电机组的重要部件,承担着提升转速、传递扭矩的重要作用。然而,由于变风速、变负载的工作环境,齿轮箱频繁经受冲击,在风电机组20年的设计寿命期内,过早出现了崩齿或断齿、轴承疲劳断裂等故障。齿轮箱的维修更换尤为复杂,是风机停机维修时间最长的部件。因

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