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中文摘要：
针对现有的暂态电能质量扰动识别过程复杂、易受噪声影响的问题，提出基于CWD的谱峭度与有效值相结合的电能质量扰动识别算法。该算法通过CWD谱峭度值将扰动信号分为暂态脉冲、暂态振荡和幅值类扰动3类，将电压暂升、暂降和中断这3种幅值类扰动看作一类，再通过计算幅值类扰动的有效值区分暂升、暂降和中断。该算法不需要使用任何分类器，极大地简化了算法流程，减少了计算时间。仿真结果验证了理论分析的正确性。
英文摘要：
Since the process of present transient power quality disturbance recognition is very complex and sensitive to noise,an algorithm based on CWD spectral kurtosis and combined with RMS is proposed for its recognition,which sorts the disturbance signals according to the CWD spectral kurtosis into three types： transient pulse,transient oscillation and amplitude disturbance,and then classifies the amplitude disturbance according to its RMS into one of three voltage kinds：swell,sag and interrupt. It does not need any classifier,extremely simplifying the calculation process and reducing the calculation time. Simulative results verify the correctness of theoretical analysis.
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