Partial discharge orientation system and method based on ultrahigh frequency sensor three-dimensional area array and neural network

A technology of ultra-high frequency sensors and partial discharges, applied in neural learning methods, biological neural network models, components of electrical measuring instruments, etc., can solve the problems of no visualization function, large equipment volume, high hardware cost, etc., and achieve improvement Inspection efficiency, low hardware cost, and intuitive orientation results

Pending Publication Date: 2022-04-22
JIANGSU ELECTRIC POWER CO
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of method usually requires nanosecond-level time synchronization between sensors and a sampling rate of at least several GSa / s. The hardware cost is too high, and the equipment is bulky and poor in portability.
[0005] In addition, the existing partial discharge location method based on time difference can only give the coordinates of the partial discharge point or the direction of arrival, that is, it obtains a one-dimensional result without visualization function

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Partial discharge orientation system and method based on ultrahigh frequency sensor three-dimensional area array and neural network
  • Partial discharge orientation system and method based on ultrahigh frequency sensor three-dimensional area array and neural network
  • Partial discharge orientation system and method based on ultrahigh frequency sensor three-dimensional area array and neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The partial discharge directional system based on the UHF sensor three-dimensional array and the neural network described in the present invention will be further explained and illustrated below in conjunction with the accompanying drawings and specific embodiments of the specification, but this explanation and illustration do not have a significant impact on the technology of the present invention. The program constitutes an improper limitation.

[0046] In the present invention, the inventor has designed a partial discharge directional system based on the three-dimensional array of UHF sensors and a neural network. This partial discharge directional system can specifically include: a regular dodecahedron frame 2 (such as Figure 4 shown), processing module and 6 dipole antennas 1 (as figure 1 shown). Wherein, these 6 dipole antennas 1 can all detect the UHF partial discharge signal of the partial discharge source, in this embodiment, the specific structure of each di...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a partial discharge orientation system based on an ultrahigh frequency sensor three-dimensional area array and a neural network. The partial discharge orientation system comprises a regular dodecahedron frame; the at least six dipole antennas are correspondingly arranged on at least six surfaces of the regular dodecahedron frame respectively; the processing module is connected with the data output end of each dipole antenna so as to receive ultrahigh frequency partial discharge data detected by each dipole antenna; the processing module adopts a neural network to screen ultrahigh frequency partial discharge data detected by each dipole antenna so as to screen out data with small fluctuation; and the processing module also performs cubic spline interpolation fitting on the data obtained by screening, and determines a final orientation result of partial discharge based on the fitted data. Correspondingly, based on the partial discharge orientation system, the invention further discloses a partial discharge orientation method based on the ultrahigh-frequency sensor three-dimensional area array and the neural network, and accurate orientation of partial discharge can be achieved.

Description

technical field [0001] The present invention relates to an orientation system and method, in particular to a partial discharge orientation system and method. Background technique [0002] As we all know, in the power supply line, partial discharge (Partial Discharge, PD) is the main reason for the insulation failure of electrical equipment. When the insulation failure of electrical equipment occurs, it is easy to cause the entire power supply line to be paralyzed. [0003] Therefore, in order to timely feedback the operating status of electrical equipment, it is often necessary to detect partial discharge of electrical equipment and accurately orientate partial discharge, thereby providing important information for condition monitoring and maintenance of electrical equipment. [0004] In the prior art, due to the advantages of high sensitivity and strong anti-interference, UHF detection technology has been widely used at home and abroad. At present, time-of-arrival (TOA) or...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/12G01R1/02G06N3/04G06N3/08B64C39/02
CPCG01R31/1227G01R1/02G06N3/04G06N3/084B64C39/02
Inventor 张璨刘国峰陈大林陈建坤冯晓蕾
Owner JIANGSU ELECTRIC POWER CO
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products