Power equipment partial discharge fault diagnosis method based on deep twin network, system, terminal and readable storage medium

Abstract

The invention discloses a power equipment partial discharge fault diagnosis method based on a deep twin network, a system, a terminal and a readable storage medium. The method comprises the steps: 1, obtaining a characteristic spectrum of to-be-tested power equipment, taking the characteristic spectrum as a test sample, obtaining characteristic spectrums of the power equipment under various partial discharge faults and without partial discharge faults, and taking the characteristic spectrums as support set samples; 2, respectively and correspondingly inputting the characteristic spectrums of the test sample and the support set sample into two deep twin network models to obtain respective corresponding depth characteristics; 3, calculating a characteristic mapping distance based on the depth characteristicsof the test sample and the depth characteristicscorresponding to each type of support sample in the support set sample; and 4, determining a partial discharge fault diagnosis result of the test sample according to the characteristic mapping distance between the test sample and each type of support sample. The method provided by the invention meets the high-precision detection of the partial discharge fault under the condition of extremely few fault samples.

Description

technical field [0001] The invention belongs to the technical field of partial discharge fault diagnosis of electric power equipment, and in particular relates to a partial discharge fault diagnosis method of electric power equipment based on a deep twin network, a system terminal and a readable storage medium. Background technique [0002] During the long-term operation of power equipment (such as gas insulated switchgear and transformers), various insulation defects may exist, resulting in partial discharge. If the partial discharge fault in the power equipment is not detected in time, the partial discharge will evolve into discharge breakdown or spark discharge, which will cause damage to the power equipment and cause huge economic losses. At present, the partial discharge fault diagnosis of power equipment mainly relies on manual analysis and identification of the collected characteristic maps. This method not only has high labor costs, but also has a long detection per...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for diagnosing partial discharge faults of power equipment based on a deep twin network, a system terminal and a readable storage for the problem that the inspection accuracy of the existing partial discharge diagnosis model is not high under the condition of very few fault samples. medium

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