Method for enhancing partial discharge signal PRPD atlas data based on CGAN network

A partial discharge and network technology, applied in the field of insulation state detection of high-voltage electrical equipment, can solve problems such as low data quality and insufficient data, and achieve the effects of solving insufficient data, enriching data volume, and solving low data quality

Pending Publication Date: 2021-08-20
YANTAI POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER +1
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Problems solved by technology

[0004] In order to solve the deficiencies in the prior art, the present invention provides a method for enhancing the partial discharge signal PRPD map data based on the CGAN network, generating new data close to the origina

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  • Method for enhancing partial discharge signal PRPD atlas data based on CGAN network
  • Method for enhancing partial discharge signal PRPD atlas data based on CGAN network
  • Method for enhancing partial discharge signal PRPD atlas data based on CGAN network

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[0035] Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0036] like Figure 1 As shown, a method based on the CGAN network enhances local discharge PRPD map data, the CGAN network (conditional counter generation network) includes an input layer, generating network G, discriminating network D, and output layers, including the following steps:

[0037] S1, acquire a plurality of PRPDs of a plurality of local discharge signals (partial discharge), each of which includes a plurality of raw images, add a label to the original image, and generate the original image of the tag.

[0038]...

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Abstract

According to the method for enhancing the partial discharge signal PRPD atlas data based on the CGAN network provided by the invention, opencv is adopted to preprocess an original image, redundant information in the image is eliminated, useful information is recovered, the detectability of the useful information is enhanced, and the reliability of the information is improved; the new data is generated by utilizing the CGAN network, the generation of the new data is based on the original data and is similar to the original data, the quality of the new data is ensured, the original data volume is enriched, the problems of insufficient data and relatively low data quality are solved, and the purpose of enhancing the partial discharge PRPD atlas data is achieved.

Description

technical field [0001] The invention relates to the technical field of high-voltage electrical equipment insulation state detection, in particular to a method for enhancing partial discharge signal PRPD map data based on a CGAN network. Background technique [0002] The UHF method is widely used in the detection of partial discharge, and the pattern recognition of partial discharge can be carried out based on the PRPD spectrum of the UHF signal. The algorithm model of pattern recognition is mainly designed based on machine learning methods. The premise of this type of algorithm is that a large amount of sample data is required to train the algorithm model. With the development of deep learning in recent years, deep neural networks have made revolutionary breakthroughs in classification tasks, and they have also made continuous breakthroughs in the direction of partial discharge pattern recognition. The classifier of the deep neural network can achieve high accuracy under th...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045G06F2218/04G06F2218/12
Inventor 刘波磊张洪奎张康赵阅群于汉启李启江许崇新王国栋闫同毛乃强李俊宏李红新周明亮赵文达李鹏飞
Owner YANTAI POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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