【摘要】 介绍了发电机局部放电数据解释中存在的问题,定义了一个相似率参数,用于分析局部放电数据的稳定性。局部放电的指纹由26个相位分布特征参数构成,相似率基于局部放电指纹的相似性,通过相似率分布图谱可以分析局部放电的稳定性。为了揭示局部放电稳定性与相似率分布的关系,结合时域信号和矩特征,对2个具体的发电机实例进行了分析研究。当相似率分布图谱只有1个主峰或呈现浴盆曲线性状时,局部放电类型较稳定;当相似率出现2个明显不同的主峰时,放电情况需要引起注意。分析结果表明,相似率图谱能够有效地反映局部放电类型的稳定性。更多还原

【Abstract】 Similarity rates are introduced in the interpretation of partial discharge data to analyze its stability,which is based on 26 phase distribution characteristic parameters of the fingerprint of partial discharge.With the distribution plot of similarity rates,the stability of partial discharge is analyzed.Combined with time domain signal and moment analysis,two practical cases are studied to investigate the relation between partial discharge stability and similarity rate distribution.When the similarity rate distribution plot has only one main peak or shows a tub curve,the discharge is stable,however,when two distinct main peaks occur,more attention should be paid.Results demonstrate that the similarity rate distribution plot can effectively reflect the stability of partial discharge.更多还原