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Characteristic-assisted partial discharge point positioning method

A partial discharge and point positioning technology, which is applied in the directions of measuring electricity, measuring electrical variables, and testing dielectric strength, etc., can solve the problems of inability to obtain accurate positioning, achieve high positioning accuracy, strong anti-interference, and fast positioning response speed Effect

Pending Publication Date: 2022-05-20
JIANGSU UNIV
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AI Technical Summary

Problems solved by technology

[0005] The present invention is aimed at the problem that there is strong clutter noise in the partial discharge point detection and positioning environment, so that accurate positioning cannot be obtained, and a feature-assisted partial discharge positioning method is designed. The feature parameters comprehensively estimate the position of the partial discharge point, realize the suppression of clutter in the process of partial discharge location, and improve the anti-interference and positioning accuracy of the partial discharge point location method

Method used

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  • Characteristic-assisted partial discharge point positioning method
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  • Characteristic-assisted partial discharge point positioning method

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Embodiment Construction

[0042] The present invention is further described below in conjunction with the accompanying drawings.

[0043] as Figure 1 As shown, a feature-assisted partial discharge localization method comprising the following steps:

[0044] S1, collect and preliminarily process the partial discharge signal, collect the partial discharge signal of the power equipment through the partial discharge detection device, and obtain the position measurement information of the partial discharge point, the partial discharge pulse signal and the spectrogram and other information after the preliminary processing.

[0045] S2, time domain analysis of the collected partial discharge signal: taking the local discharge signal as the time domain signal, using the amplitude as the time domain feature modeling, assuming that the time interval of state update is 1s, N= 5000 pulses per second can be used for feature extraction.

[0046] S3, frequency domain analysis of the collected partial discharge signal: Th...

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Abstract

The invention discloses a feature-assisted partial discharge point positioning method, which comprises the following specific steps of: (1) collecting and primarily processing a partial discharge signal, collecting the partial discharge signal of power equipment through a partial discharge detection device, and obtaining position measurement information, a partial discharge pulse signal, a spectrogram and other information of a partial discharge point after processing; (2) modeling for time domain and frequency domain features, using amplitude as a time domain feature and using a frequency spectrum as a frequency domain feature; and (3) fusing the time domain and frequency domain features with Gaussian mixture probability hypothesis density filtering, and correcting the weight of the Gaussian component of the partial discharge point by using the features. According to the method, on the basis of Gaussian mixture probability hypothesis density filtering, time-frequency domain features are fused, so that clutter interference can be suppressed, and positioning of partial discharge points in a strong clutter environment is realized. The method has the advantages of high response speed, high anti-interference capability, high positioning accuracy and the like.

Description

Technical field [0001] The present invention relates to the field of partial discharge positioning of electrical equipment, specifically to a feature-assisted partial discharge positioning method. Background [0002] The detection of partial discharge signal can be used as an effective means for the evaluation of the insulation state of the equipment, and it is also an important prerequisite for the localization of the partial discharge point and the fault location of the power equipment. There are various noises in the working environment of power equipment, and it is crucial to distinguish between partial discharge signals and noise signals to achieve the extraction of partial discharge signals in this complex noise strong clutter environment. [0003] The traditional power equipment partial discharge positioning problem is mainly based on the distance between each sensor and the local discharge point, the time of receiving the signal is not the same, according to the time diff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/12
CPCG01R31/1227Y04S10/52
Inventor 闫小喜薛夏秦亚兵
Owner JIANGSU UNIV
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