基于小波能谱的发电机转子匝间短路故障分析
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摘要
本文将小波多分辨率分析与小波能量谱分析运用到发电机转子发生匝间短路时在定子并联支路产生的电压差与环流信号的分析中,并对信号进行了小波包软阈值去噪。采用Mallat算法对信号进行快速分解与重构。通过大量的仿真试验,采用了第6高频细节的小波能量作为转子匝间短路故障特征提取信号,并与参考文献[2]分析结果进行了对比。该方法更加准确地反映故障特征,特别在并网负载运行的条件下。
In this paper,Multi-resolution analysis and Wavelet Energy spectrum are used to analyze the signals of differential voltage and circular current when the rotor windings are faulty,using wavelet packet to reduce noise of signals.Mallat’s decomposition algorithm is applied to decompose the signals.Wavelet energy of the 6th detail is adopted to extract feature of the rotor wingding fault.Comparing to document[2],the method mentioned in this paper can reflect the feature of the faulty more effectively,especially in power network operation with load.
引文
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