Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power transmission line fault identification method and device based on support vector machine

A technology of support vector machine and fault identification, which is applied in the direction of measuring devices, fault locations, and measuring electricity, can solve problems affecting life, management system collapse, chain reactions, etc., achieve high efficiency and accuracy, realize fault classification, and improve The effect of accuracy

Pending Publication Date: 2022-02-11
NARI TECH CO LTD +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It will cause a devastating blow to the stability of equipment and transmission systems, and may trigger a chain reaction, leading to the collapse of the management system, affecting the normal work of enterprises, and even affecting production, including daily production and life in industrial society

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
  • Power transmission line fault identification method and device based on support vector machine
  • Power transmission line fault identification method and device based on support vector machine
  • Power transmission line fault identification method and device based on support vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The technical solutions of the present invention will be further described below through the embodiments and in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0045] A transmission line fault identification method based on support vector machine, the process is as follows figure 1 shown, including:

[0046] Step 1. Collect fault traveling wave signals, and extract characteristic values ​​for traveling wave data, including average zero-crossing rate, approximate entropy value, and wavelet energy spectrum.

[0047] Step 1.1, extract the average zero-crossing rate, the zero-crossing rate represents the frequency at which the traveling wave passes through the 0-value line, and represents the oscillation frequency of a traveling wave signal. If X(n) is a traveling wave signal, N is the number of trave...

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 power transmission line fault identification method and device based on a support vector machine, and the method comprises the steps of collecting fault traveling wave data of a power transmission line, and extracting feature values, including an average zero-crossing rate, an approximate entropy value and a wavelet energy spectrum, from the traveling wave data; carrying out data normalization and determining a training set; training the training set data to obtain each single feature quantity model file; analyzing the test data set by adopting each feature quantity model to obtain a fault result, and calculating the accuracy of each model; and recalculating the result according to the accuracy distribution weight proportion of each model. The average zero-crossing rate, the approximate entropy, the wavelet energy spectrum and other feature quantities are selected, so that the features of lightning stroke and non-lightning stroke faults of the power transmission line are well distinguished, and the accuracy of a support vector machine algorithm is improved.

Description

technical field [0001] The invention belongs to the field of transmission line fault identification, and relates to identification methods for lightning strikes and non-lightning strikes, shielding strikes and counterattacks in transmission lines, in particular to a transmission line fault identification method based on a support vector machine. Background technique [0002] At present, the development of the power grid is becoming more and more open, whether it is a lightning strike caused by a lightning strike on the transmission line or the development of electrical engineering equipment, or it is forced to withdraw from the operation of the power grid due to a lightning strike, the power grid will be out of operation. It will cause a devastating blow to the stability of equipment and transmission systems, and may trigger a chain reaction, leading to the collapse of the management system, affecting the normal work of enterprises, and even affecting production, including da...

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): G01R31/08
CPCG01R31/088
Inventor 王应瑞安林王小红周华良滕贤亮吴通华戴魏沈桂鹏侯启林何昭辉曹锐梁臣饶丹
Owner NARI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com