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Partial discharge pulse first arrival moment online pickup method

A partial discharge pulse and moment technology, applied in the field of signal processing, can solve the problems of difficult to guarantee the picking accuracy, susceptible to noise influence, unable to pick up automatically online, etc., and achieve high engineering application value, strong noise adaptability, and high picking accuracy Effect

Inactive Publication Date: 2017-05-31
HENAN POLYTECHNIC UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is susceptible to noise and produces multiple pseudo-extreme points, and the picking accuracy is difficult to guarantee
[0006] Therefore, there are two problems in the existing pick-up technology of the first arrival time of partial discharge pulses, which cannot be automatically picked up online and are susceptible to noise.

Method used

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  • Partial discharge pulse first arrival moment online pickup method
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  • Partial discharge pulse first arrival moment online pickup method

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Embodiment 1

[0034] figure 1 The flow chart of the online picking method for the first arrival time of partial discharge pulse based on the wavelet packet kurtosis algorithm of the present invention is given, and the method includes the following steps:

[0035] Step 1: Obtain the cable online monitoring time series x through the high frequency current sensor (HFCT) n (n=1,2,...N); wherein N is the number of sampling points in the sequence;

[0036] Step 2: Calculate the time window energy ratio R of the sequence, and determine the online monitoring time sequence x that changes with the sampling point n The time window energy ratio curve R(i);

[0037] Using the energy ratio of the front and back time windows with a length of 2M and taking the sampling point i as the center to construct the online monitoring time series x n The time window energy ratio curve R(i),

[0038]

[0039] Among them, λ is the stability factor, and its value should be much smaller than the energy value of t...

Embodiment 2

[0053] figure 2 Provided is the partial discharge pulse whose real first arrival time is the 1230th sampling point under different signal-to-noise ratio conditions, using the kurtosis method, the peak value method and the first arrival time picking method of the present invention to carry out the simulation diagram of the first arrival time extraction, The picking results and error values ​​of the present invention, the peak method, and the single kurtosis method are summarized in Table 1. As can be seen from Table 1, when the signal-to-noise ratio is -6dB, the present invention picks up the first arrival moment of the partial discharge pulse at the 1229th sampling point, which is only different from the standard sampling point 1230 by 1 sampling point; and the peak method, kurtosis The picking results of the method and the wavelet modulus extremum method are 1233 sampling points, 1232 sampling points, and 1235 sampling points respectively, and their errors reach 3 sampling p...

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Abstract

The invention discloses a partial discharge pulse first arrival moment online pickup technology based on wavelet packet kurtosis, and belongs to the field of signal processing, wherein the technology is particularly suitable for online high-precision pickup of the partial discharge pulse first arrival moment of a high-voltage cable. Particularly, the method includes the steps that the before and after time window energy ratio R of a monitoring sequence is calculated, the time window happening during partial discharge is determined through the time window energy ratio curve, wavelet packet three-dimensional decomposition and reconstruction are carried out on the time window happening in the determined partial discharge pulse to extract the partial discharge pulse, and finally a kurtosis algorithm is used for online high-precision pickup of the partial discharge pulse first arrival moment. Compared with the single kurtosis method, the currently existing peak value method and the wavelet transform modulus extremum method, the partial discharge pulse first arrival moment online pickup method has higher adaptive capacity to noise and has important engineering application value.

Description

technical field [0001] The invention relates to an online picking method for the first arrival time of partial discharge pulses based on wavelet packet kurtosis algorithm, and is especially suitable for online picking up the first arrival time of high voltage cable partial discharge pulses. It belongs to the field of signal processing. Background technique [0002] With the rapid development of large and medium-sized cities in my country and the requirements of urban planning, the power cables laid underground will gradually replace the previous suburban overhead lines. Underground cables have many advantages such as less land occupation, personal safety, reliable power supply, and less maintenance workload. However, once an underground cable fails, it is very difficult to find the fault point. Power outage loss. Therefore, how to accurately, quickly and economically detect cable insulation fault points has been a research hotspot for many years by relevant engineering and...

Claims

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Application Information

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IPC IPC(8): G01R31/12
CPCG01R31/1272
Inventor 孙抗郭景蝶刘永超师文文郭慧娟赵来军
Owner HENAN POLYTECHNIC UNIV
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