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

Cable insulation state evaluation method based on neural network integration

A technology for cable insulation and state evaluation, applied in biological neural network models, neural architectures, electrical measurement, etc., can solve the problems of inability to fully reflect the cable insulation state and single reference features, so as to avoid poor stability and improve accuracy , to overcome the effect of dispersion and measurement error

Inactive Publication Date: 2019-10-08
国网陕西省电力公司西安供电公司 +1
View PDF8 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects of the prior art, the object of the present invention is to provide a method for evaluating the cable insulation state based on neural network integration, which aims to solve the problem that the selected cable insulation state evaluation reference feature in the prior art cannot fully reflect the cable insulation state. question

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
  • Cable insulation state evaluation method based on neural network integration
  • Cable insulation state evaluation method based on neural network integration
  • Cable insulation state evaluation method based on neural network integration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] In order to achieve the above object, the present invention provides a method for evaluating cable insulation state based on neural network integration.

[0034] Such as figure 1 Shown is a schematic flow diagram of a neural network integration-based cable insulation state evaluation method proposed by the present invention.

[0035] Concretely, a kind of method for evaluating cable insulation state based on neural network integration provided by the present invention comprises the following steps:

[0036] Step 1. Fuse different cable insulation state evaluation reference features, and...

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 cable insulation state evaluation method based on neural network integration. The method comprises: step one, carrying out fusion of different cable insulation state evaluation reference features and constructing a neural network cable insulation state evaluation model based on bagging; and step two, measuring feature parameters of a to-be-evaluated cable, inputting the measured parameters into the cable insulation state evaluation model to obtain a cable insulation state level, thereby completing evaluation of the cable insulation state. According to the invention, on the basis of the mechanical and electrical properties of the cable, different cable insulation state evaluation reference features are selected and full fusion is performed; an accurate cable insulation state evaluation method is established; and a problem of high dispersion and large measuring error of the measuring index due to the single selected evaluation reference feature in the prior artis solved.

Description

technical field [0001] The invention belongs to the technical field of cable insulation state evaluation, and more particularly relates to a method for evaluating cable insulation state based on neural network integration. Background technique [0002] Cables play an extremely important role in the transmission of electric energy in the current power system, and their operating status directly affects the safety and stability of the power system. The design life of the cable is generally 20 to 30 years. With the increase of the operating life of the cable, its insulation will gradually age, and the overall insulation state will gradually deteriorate. For cables that have been in operation for many years, the overall insulation aging is more serious. The operating environment is relatively harsh, such as humidity, corrosive substances, and severe radiation, the overall insulation will age more rapidly, and the operating life of the cable is likely to be lower than the design ...

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): G01R31/12G01R31/20G06N3/04
CPCG01R31/1272G01R31/20G06N3/044
Inventor 苏小婷张丹丹郑建康蒲路刘煜盖净贾紫蕊王瀚锋李少斌
Owner 国网陕西省电力公司西安供电公司
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