Method and system for automatically identifying suspected familial defects of power transmission and transformation equipment

A power transmission and transformation equipment, automatic identification technology, applied in electrical digital data processing, natural language data processing, special data processing applications, etc., can solve the problems of long cycle, unfavorable family defects, etc. and time and other cost effects

Active Publication Date: 2018-10-16
GLOBAL ENERGY INTERCONNECTION RES INST CO LTD +2
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The identification of familial defects is mainly carried out by professionals through equipment testing

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
  • Method and system for automatically identifying suspected familial defects of power transmission and transformation equipment
  • Method and system for automatically identifying suspected familial defects of power transmission and transformation equipment
  • Method and system for automatically identifying suspected familial defects of power transmission and transformation equipment

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0037] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0038] like figure 1 As shown, the power transmission and transformation equipment suspected familial defect analysis model of the present invention, by collecting equipment defects, using text mining technology, text analysis of power transmission and transformation equipment defect information, and extraction of power transmission and transformation equipment defect information feature words, Carry out text similarity calculation and text agglomeration hierarchical clustering, analyze the same defects of the same type, the same model, and the same defective part produced by the same manufacturer, and realize the automatic identification of suspected familial defects of power transmission and transformation equipment.

[0039] In order to use this method effectively, it is necessary to ensure that the present invention has complete ...

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 relates to a method and a system for automatically identifying suspected familial defects of power transmission and transformation equipment. The method comprises the following steps of:collecting data of power transmission and transformation equipment, performing text analysis on defect information of the power transmission and transformation equipment to obtain a characteristic word frequency matrix of equipment defect information; based on the characteristic word frequency matrix of equipment defect information, calculating the correlation between word frequency vector matrices and the similarity between the defect information of different pieces of power transmission and transformation equipment; and based on the similarity of defect information of different pieces of power transmission and transformation equipment, clustering the defect information of the power transmission and transformation equipment to identify equipment with the suspected familial defects. The invention clusters the defect information of the power transmission and transformation equipment and automatically identifies the equipment with the suspected family defects according to a grouping statistical result, thereby greatly reducing the cost of manpower, time and the like.

Description

technical field [0001] The invention relates to the technical field of text mining, in particular to an automatic identification method and system for suspected familial defects of power transmission and transformation equipment. Background technique [0002] The safe and reliable operation of power transmission and transformation equipment is the basis for the safe operation of the power grid. Therefore, if there are defects in power transmission and transformation equipment, there will be potential safety hazards in the operation of the power grid, especially if the same manufacturer has the same technology, the same material, and the same design concept. The equipment defect caused by the system and ideas will cause a greater hidden danger to the safe and stable operation of the power grid. [0003] At present, the sources of familial defects of power transmission and transformation equipment mainly include: family accident notification of related equipment, equipment cou...

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
IPC IPC(8): G06F17/30G06F17/27
CPCG06F40/242G06F40/284
Inventor 郑晓崑周爱华胡斌梁潇陈其鹏
Owner GLOBAL ENERGY INTERCONNECTION RES INST CO LTD
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap