局部放电检测已成为电缆绝缘在线检测技术的重要内容之一，由于局部放电信号微弱，且易受现场噪声干扰，因此如何准确识别并提取局放信号成为在线监测系统研究的重点和难点。本文通过运用联合抗干扰技术对局放信号进行处理，有效消除干扰并保留原始信号的必要形状特征；采用多相态谱图聚类分析法，从多相态谱图中提取放电特性，为局放在线监测提供判断依据和有效分析手段。经某水电厂330 kV电缆线路局部放电在线监测系统现场应用证明该技术具有较好的实用性和推广性。%PD detection has become one of the important contents of on-line testing technology in cable insulation . Due to the PD signal is weak and vulnerable to spot noises , thus, how to correctly recognize and extract signal of PD become the research focus and difficulty of on-line monitoring system .This paper aims to provide a basis for judgment and effective analysis means of PD on-line monitoring by using multiple anti-jamming technology to process PD signal , which effectively eliminates the interference and retains necessary shape features of the original signal .This paper uses multiphase spectrum clustering analysis means to extract discharge characteristics from multiphase spectrum .It proves that the technology has good practicability and popularization according to the field application of 330 kV cable PD on-line monitoring system of a certain hydropower plant .
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