基于声发射波关联维数的避雷器异常放电识别

避雷器异常放电的现有识别方法难以判断异常放电时的吸收声波特性，导致识别结果不准确，以110 kV交流避雷器为研究对象，对避雷器异常放电类型进行识别。采用声发射技术来检测110 kV交流避雷器雷电异常放电特性，获取雷电影响下110 kV交流避雷器放电时的吸收声波；基于获取的放电吸收声波，采用关联维数的避雷器雷电异常放电吸收波特征分析方法，实现110 kV交流避雷器雷电异常放电吸收声波的特性分析。实验结果表明：该方法通过关联维数判断避雷器放电吸收声波的特性，能够有效判断雷电影响下110 kV交流避雷器每种异常放电的情况，且通过该方法识别110 kV交流避雷器雷电异常放电类型时，识别结果全部通过，因此该分析方法的应用价值显著。

Identification of Abnormal Discharge of Arresters Based on Correlation Dimension of Acoustic Emission Wave

The existing identification methods of abnormal discharge of arresters are difficult to judge the absorption acoustic wave characteristics during an abnormal discharge,resulting in inaccurate identification results. Taking 110 k V AC arrester as the research object,the abnormal discharge type of the arrester is identified. The acoustic emission technology is used to detect the lightning abnormal discharge characteristics of the 110 kV AC arrester to obtain the absorbed sound wave during the discharge of the arrester under the influence of lightning. Based on the obtained discharge absorption sound wave,the characteristic analysis of lightning abnormal discharge absorption wave of the 110 kV AC arrester is realized by using the correlation dimension analysis method. The experimental results show that this method,through the correlation dimension to judge the characteristics of lightning arrester discharge to absorb sound waves,can effectively judge the110 k V ac under the influence of lightning arrester each abnormal discharge,and all the identification result can pass through when identifying the lightning abnormal discharge type of the 110 k V AC arrester by the method. Therefore,the application value of this analysis method is significant.