A New Cross-Correlation Algorithm Based on Distance for Improving Localization Accuracy of Partial Discharge in Cables Lines

Locating the partial discharge (PD) source is one of the most effective means to locate local defects in power cable lines. The sampling rate and the frequency-dependent characteristic of phase velocity have an obvious influence on localization accuracy based on the times of arrival (TOA) evaluation algorithm. In this paper, we present a cross-correlation algorithm based on propagation distance to locate the PD source in cable lines. First, we introduce the basic principle of the cross-correlation function of propagation distance. Then we verify the proposed method through a computer simulation model and investigate the influences of propagation distance, sampling rate, and noise on localization accuracy. Finally, we perform PD location experiments on two 250 m 10 kV XLPE power cables using the oscillation wave test system. The simulation and experiment results indicate that compared with traditional TOA evaluation methods, the proposed method has superior locating precision.

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A Novel Oscillation Wave Test System for Partial Discharge Detection in XLPE Cable Lines

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2019.2949843 ◽

2020 ◽

Vol 35 (4) ◽

pp. 1678-1684 ◽

Cited By ~ 3

Author(s):

Guangya Zhu ◽

Kai Zhou ◽

Shilin Zhao ◽

Yuan Li ◽

Lu Lu

Keyword(s):

Partial Discharge ◽

Test System ◽

Xlpe Cable ◽

Cable Lines ◽

Discharge Detection

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

Sensors ◽

10.3390/s18103439 ◽

2018 ◽

Vol 18 (10) ◽

pp. 3439 ◽

Cited By ~ 1

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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Research on Acoustic Source Localization Technology Based on Cross-Correlation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.819.244 ◽

2013 ◽

Vol 819 ◽

pp. 244-248

Author(s):

Zhi Jiang Xie ◽

Hai Zeng ◽

Ping Chen

Keyword(s):

Source Localization ◽

Cross Correlation ◽

Microphone Array ◽

Noise Signal ◽

Acoustic Source ◽

Localization Accuracy ◽

Correlation Algorithm ◽

Acoustic Source Localization ◽

Narrowband Signal ◽

Improved Accuracy

In order to realize acoustic source localization, we proposed to use microphone array and time delay based on crosscorrelation algorithm,and analyzed the factors to influence the locating accuracy, and established a realtime acoustic source localizationsystem on the NI CompactRIO system. By experiments, cross-correlation algorithm for wideband signal(sweep signal, noise signal) localization is more accurate, for narrowband signal (organ signal) localization is less significant. After analyzed factors to influence the localization accuracy, we improved sound source system, and the factors that affected the organ signal localization is verified by experiment , and improved accuracy of narrowband signal localization .

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A Wavelet Spatial Correlation Algorithm to Partial Discharge Denoising Based on MDL Criterion

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.340.642 ◽

2013 ◽

Vol 340 ◽

pp. 642-646

Author(s):

Li Song Tian ◽

Wei Xuan Chen

Keyword(s):

White Noise ◽

Spatial Correlation ◽

Partial Discharge ◽

Parameters Estimation ◽

Optimization Strategy ◽

Signal Parameter ◽

Detection Systems ◽

Correlation Algorithm ◽

White Noises ◽

General Method

The partial discharge (PD) detection systems are often vulnerable to strong external interferences, and sometimes the PD signals are submerged in noises (white noise for example) completely. So the signals acquired must be preprocessed to obtain the reliable PD information. While there are many methods for white noise denoising, mostly are not very suitable for partial discharge. The wavelet transform (WT) coefficient of PD and white noises have different spread characteristics in different WT scales. Based on the Information Theory, The Minimum Information Description Length (MDL) criterion is a optimization strategy, a small amount of signal parameter is requried to the PD signals representation, the paper proposes a wavelet spatial correlation algorithm to partial discharge denoising based on MDL criterion: optimal wavelet function is selected based on MDL, then have the white noise reduced in WT, the algorithm has wonderful virtues such as free from any parameters estimation about noise, free from presetting threshhold and threshold chooseing behavior, so the algorithm is highly adaptive. Large amount of experimental results illustrate that the method presented in this paper are efficient and feasible and outperforms other general method of PD noise reduction.

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