Time-delay estimation algorithm of partial discharge ultra high frequency signals based on fractional Hilbert transformation

2016 ◽  
Author(s):  
Xiao-min Ma ◽  
Ding Deng-wei ◽  
Zhang Ran ◽  
Li Wei-wei ◽  
He Liang ◽  
...  
Keyword(s):  
Time Delay ◽  
High Frequency ◽  
Partial Discharge ◽  
Estimation Algorithm ◽  
Time Delay Estimation ◽  
Hilbert Transformation ◽  
Delay Estimation ◽  
Ultra High Frequency

scholarly journals An Accurate and Efficient Time Delay Estimation Method of Ultra-High Frequency Signals for Partial Discharge Localization in Substations

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3439 ◽  
Author(s):  
Pengfei Li ◽  
Kejie Dai ◽  
Tong Zhang ◽  
Yantao Jin ◽  
Yushun Liu ◽  
...  
Keyword(s):  
Time Delay ◽  
High Frequency ◽  
Cross Correlation ◽  
Partial Discharge ◽  
Estimation Method ◽  
Time Delay Estimation ◽  
Estimation Methods ◽  
Zero Crossing ◽  
Ultra High Frequency ◽  
Correlation Algorithm

Partial discharge (PD) localization in substations based on the ultra-high frequency (UHF) method can be used to efficiently assess insulation conditions. Localization accuracy is affected by the accuracy of the time delay (TD) estimation, which is critical for PD localization in substations. A review of existing TD estimation methods indicates that there is a need to develop methods that are both accurate and computationally efficient. In this paper, a novel TD estimation method is proposed to improve both accuracy and efficiency. The TD is calculated using an improved cross-correlation algorithm based on full-wavefronts of array UHF signals, which are extracted using the minimum cumulative energy method and zero-crossing points searching methods. The cross-correlation algorithm effectively suppresses the TD error caused by differences between full-wavefronts. To verify the method, a simulated PD source test in a laboratory and a field test in a 220 kV substation were carried out. The results show that the proposed method is accurate even in case of low signal-to-noise ratio, but with greatly improved computational efficiency.

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