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多缺陷绝缘局部放电信号的识别与分类 被引量:4

Feature Extraction of Multi-defect Partial Discharge Patterns
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摘要 绝缘设备中可能存在多种不同的缺陷,若其同时引发局部放电则给局放信号的检测判断增加了难度。作者介绍了国外用混合weibull函数法和小波分析法识别与分离多缺陷局放信号的技术,他们的实践表明:二者均有较好的识别与分类性能,采用于局放高度分布分析技术的混合,weibull函数法适用于处理两缺陷局放信号,采用多分辨信号分解技术的小波分析法则能更准确地处理多缺陷局放信号。 In practice, there may be various defects in an insulation system, and the partial discharge (PD) signals can be produced by these defects simultaneously. Two methods are introduced to identify and classify the multi-defect PD patterns, i.e. mixed Weibull function applied to PD height distribution (PDHD) analysis and wavelet analysis. It is shown that successful recognition and classification can be achieved by using these two methods.
出处 《高电压技术》 EI CAS CSCD 北大核心 2002年第3期14-15,27,共3页 High Voltage Engineering
关键词 多缺陷绝缘 局部放电信号 识别 分类 模式识别 多分辨信号分解 pattern recognition partial discharge height distribution (PDHD) multi-resolution signal decomposi-tion(MSD)
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参考文献5

  • 1[1]June Ho Lee et al. Analysis of partial discharge signals from multi-defect insulation systems. Proc of IEEE,1997,5:30
  • 2[2]Cacciari M et al. Identification and separation of two concurrent partial discharge phenomena. IEEE Annual Report Conference on Electrical Insulation and Dielectric Phenomena,1996,10:476
  • 3[3]Cacciari M et al. Use of a mixed Weibull distrubution for the identification of partial discharge phenomena. IEEE Trans on D & E I, 1995, 2(6):1167
  • 4[4]Contin A et al. PD source recognition by Weibull processing of pulse height distribution. IEEE Trans on Dielectrics and Electrical Insulation, 2000, 7(1):48
  • 5[5]Lalitha E M, Satish L. Wavelet analysis for classification of multi-source PD patterns. IEEE Trans on Dielectric and Electrical Insulation, 2000, 7(1):40

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