Abstract：Partial discharge (PD) is one of the causes of insulation degradation in electrical equipment. Accurate detection of partial discharge is of great significance to the safety and stability of electrical equipment. The existing research focuses on the analysis and processing of the partial discharge pulse waveform, trying to solve the problem of low signal to noise ratio(SNR) and susceptibility to interference, thereby improving the directional of arrival (DOA) estimation accuracy. In this paper, the problem of PD detection is transferred into a statistical analysis problem. The maximum likelihood estimation method is utilized to solve the problem of ultra-high frequency PD DOA estimation. Simulation analysis and field electrical experiment results showed that the method can improve the accuracy of DOA estimation, especially in substation environment where SNR=5dB. The estimation accuracy of the proposed method increased 20% compared to the traditional MUSIC algorithm. This paper provides a new perspective for solving the PD detection problem by using probability statistics method.
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2019, Vol. 34 
