Pattern recognition method and device for partial discharge signal, equipment and storage medium

Abstract

The invention discloses a partial discharge signal pattern recognition method, device and equipment and a storage medium. The method comprises the steps of obtaining partial discharge data, carrying out the preprocessing of the partial discharge data, generating a data set of an adversarial network through employing the preprocessed data as a training condition, and dividing the data set into a training data set and a test data set; generating an adversarial network model and a machine learning classifier according to training target construction conditions; training a conditional generative adversarial network model in the training data set; inputting a random noise signal into a generator of the conditional generative adversarial network model to enable the generator to generate new partial discharge data, and obtaining a new data set according to the new partial discharge data; and after training the machine learning classifier in the new data set, verifying accuracy of the machinelearning classifier in the test data set. The method is advantaged in that the data set is expanded by generating the new data, so technical problems of difficult data sampling and low pattern recognition precision in the prior art are solved.

Description

technical field [0001] The present application relates to the technical field of high voltage insulation, in particular to a method, device, equipment and storage medium for pattern recognition of partial discharge signals. Background technique [0002] Partial discharge is a phenomenon of insulation degradation in high-voltage insulation systems, and it is an important cause of insulation failure of electrical equipment. In addition, the ultra-high frequency (UHF) method has been widely used in the field signal detection of partial discharge due to its strong anti-interference ability and high sensitivity. High-voltage simulation experiment is a kind of simulation technique of partial discharge signal, which plays a fundamental role in the research of partial discharge pattern recognition. [0003] At present, the laboratory uses a high-voltage experimental system for the simulation of partial discharge to cooperate with various real partial discharge test models for the s...

AI Technical Summary

Problems solved by technology

[0005] This application provides a pattern recognition method, device, equipment and storage medium for partial discharge signals. By generating new data and expanding the data set, the technical problems of difficult data sampling and low pattern recognition accuracy in the prior art are solved.

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