Cable partial discharge pattern recognition method and system

Abstract

The invention discloses a cable partial discharge pattern recognition method and system which can be used for reducing the amount of data required for calculation, shortening recognition time, and effectively acquiring electric discharge characteristics of different partial electric discharges. Without losing characteristic parameters the method and system can be used for obtaining significant characteristic values from the subtle parts and improving classification recognition rates. The method comprises the following steps: data in m cycles is taken from each data group and superimposed in one cycle to form atlas data of each data group; 360 degrees in the cycle is subjected to phase window dividing operation in units of the same angle, and n equal-interval phase windows are obtained; thecharacteristic value of the atlas data in the cycle corresponding to each phase window is calculated, and a first characteristic value matrix is obtained; the obtained first characteristic value matrix is subjected to dimension reduction operation so as to obtain a second characteristic value matrix, characteristic values in the second characteristic value matrix are classified and identified viaa pattern identification classifier, and a classification result corresponding to each sample signal is obtained.

Description

technical field [0001] The invention relates to the technical field of power cable partial discharge monitoring, in particular to a method and system for identifying cable partial discharge patterns. Background technique [0002] Because cross-linked polyethylene power cables (XLPE) have good electrical properties and heat resistance, and are light in weight, easy to install and convenient to lay, they are widely used in urban underground power grid transmission. The extensive use of power cables has led to the vigorous development of the matching power cable accessories. However, XLPE power cables in actual operation are affected by factors such as installation process, laying environment, external force damage, and use conditions, causing insulation defects and even insulation breakdown accidents. The proportion is more. It is generally believed at home and abroad that the best method for evaluating the insulation status of XLPE power cables and their accessories is to m...

AI Technical Summary

Problems solved by technology

At the same time, the calculation of these statistical feature parameters requires pictures drawn based on a large amount of data, and obtaining their statistical feature parameters also requires a lot of calculations, which makes the calculation of partial discharge feature extraction huge and slow.

Moreover, there are still technical problems such as the inability to obtain significant eigenvalues ​​from local subtle parts due to the loss of characteristic parameters, and the accuracy of the obtained eigenvalues ​​is low.

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