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Detection method of partial discharge phase distribution based on nsct photoelectric fusion map

A phase distribution and detection method technology, applied to computer components, instruments, calculations, etc., can solve the problems of incomplete feature information and reduce the accuracy of pattern recognition, so as to achieve high practicability, facilitate operation and maintenance, and good recognition effect of effect

Active Publication Date: 2022-06-17
SHANGHAI JIAOTONG UNIV +1
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AI Technical Summary

Problems solved by technology

Therefore, in the process of performing PD pattern recognition on the two types of detection patterns, this signal omission phenomenon will lead to incomplete characteristic information of the partial discharge phase distribution (hereinafter referred to as PRPD) pattern, thereby reducing the accuracy of pattern recognition. Accuracy

Method used

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  • Detection method of partial discharge phase distribution based on nsct photoelectric fusion map
  • Detection method of partial discharge phase distribution based on nsct photoelectric fusion map
  • Detection method of partial discharge phase distribution based on nsct photoelectric fusion map

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Embodiment Construction

[0063] see first figure 1 , figure 1 This is the overall flow chart of the partial discharge phase distribution detection method based on the NSCT photoelectric fusion map of the present invention. It can be seen from the figure that the present invention is based on the NSCT photoelectric fusion map. The partial discharge phase distribution detection method includes the following steps:

[0064] a. Collect partial discharge maps

[0065] Based on the optoelectronic combined partial discharge detection experimental platform, the partial discharge signals of various discharge defects are collected, and the corresponding optical PRPD spectrum and UHF PRPD spectrum are obtained, such as figure 2 shown (using the tip defect as an example).

[0066] b. Perform NSCT decomposition

[0067] Gray-scale processing and NSCT decomposition of the optical PRPD spectrum and UHF PRPD spectrum were performed to obtain the high-frequency and low-frequency submaps of the corresponding source...

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Abstract

A partial discharge phase distribution detection method based on NSCT photoelectric fusion atlas, comprising the following steps: collecting partial discharge atlas, performing grayscale processing and NSCT decomposition, NSCT fusion, and NSCT inverse transformation on optical PRPD atlas and UHF PRPD atlas, The photoelectric fusion image F is reconstructed and the pattern recognition of the photoelectric fusion PRPD spectrum is obtained. Experimental results show that the present invention can improve the accuracy of pattern recognition of single optical detection and single UHF detection at the present stage, has good recognition effect and high practicability, is beneficial to the operation and maintenance of power equipment, and ensures the safety of power grids Stable operation.

Description

technical field [0001] The invention belongs to partial discharge fault diagnosis of gas insulation equipment, in particular to a partial discharge phase distribution detection method based on NSCT photoelectric fusion atlas. It is conducive to the operation and maintenance of power equipment and ensures the safe and stable operation of the power grid. Background technique [0002] In recent years, gas-insulated equipment has been widely used in the operation of substations and the transmission of electric energy due to its large capacity, high stability, and low environmental impact. With the large-scale application of gas-insulated equipment, the deterioration of the insulation performance of the equipment has gradually become the focus of grid security. Because partial discharge is one of the key factors of insulation degradation, with the development of partial discharge detection technology, in order to improve the stability and reliability of partial discharge detecti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/80G06V10/77G06V10/44
CPCG06F18/213G06F18/25G06F18/241
Inventor 臧奕茗钱勇陈孝信王辉舒博李泽盛戈皞江秀臣
Owner SHANGHAI JIAOTONG UNIV
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