In order to analysis the type of XLPE cable partial discharge, and grasp characteristics of partial discharge caused by different defects. In this paper, we use a 10kV 30-meter-long XLPE cable and design different types of defects. Then we collect the PD data of different defect model by PD data acquisition system. To characterize Partial discharge signals generated by different defect model by use of discharge capacity q s , discharge times n , the average discharge amount q n and phase distribution function include the maximum discharge amount distribution H Qmax(φ) , the average discharge amount distribution H Qmean(φ) , the discharge times phase distribution H N(φ) as well as φ-Q-N distribution map and so on. The results show that the partial discharge signals produced by different defect model have different statistical characteristics.
In order to study the application of Weibull distribution in cable partial discharge pattern recognition. We apply a 10kV 30m XLPE cable for this study. Then design four kinds of typical artificial defect model and analyze each of defect model's discharge pulse signals. Finally, estimate the Weibull distribution of signals by use of the maximum likelihood method. The results show that Weibull probability distribution is similar to partial discharge amplitude distribution, the shape parameter β can be used to identify different types of discharge.
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