Partial discharge three-dimensional clustering recognition method based on discharge amplitudes of different frequency bands

Abstract

The invention discloses a partial discharge three-dimensional clustering recognition method based on the discharge amplitudes of different frequency bands and belongs to the power equipment partial discharge technical field. According to the partial discharge three-dimensional clustering recognition method, a statistical idea-based new ultra-high-frequency single-order waveform analysis method is put forward; fast Fourier transform (FFT) is performed on a plurality of single-order waveforms of the same type; the maximum values of the plurality of single-order waveforms of the same type at each frequency point are put into statistics, so that a discharge frequency peak maximum value distribution spectrum Hmax (f) is obtained; the discharge frequency amplitude sum Fmax of different frequency bands and the proportion Kmax of the discharge frequency amplitude sum Fmax in the amplitude sum of whole frequency bands are calculated; Euclidean space distances corresponding to the Kmax of any three frequency bands of different discharge types are calculated; three optimal frequency bands of which the Euclidean space distance average value is the largest are selected; and the three-dimensional clustering spectrum of the Kmax is drawn, and partial discharge types can be distinguished simply and intuitively.

Description

technical field [0001] The invention belongs to the technical field of partial discharge detection of electric power equipment, and in particular relates to a three-dimensional clustering identification method of partial discharge based on the sum of discharge amplitudes in different frequency bands, which is used for the identification of partial discharge types of electric power equipment. Background technique [0002] The insulating material of power equipment is an important component to ensure the normal operation of power equipment, but due to the aging of the insulating material under the action of a strong electric field or the processing defect of the insulating material, partial discharge will occur inside the insulating material during the operation of the power equipment, and the development of partial discharge will be accelerated. The aging of insulating materials will shorten the life of power equipment, so it is necessary to detect and identify the type of par...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of more effectively extracting the energy characteristics of partial discharge electromagnetic waves that can identify the type of partial discharge, provide a three-dimensional clustering recognition method for partial discharge based on the sum of discharge amplitudes in different frequency bands, and verify the partial discharge Validity in Type Identification

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