Quantitative evaluation method for credibility of distribution transformer inspection result based on LOF algorithm

A technology of distribution transformers and reliability, applied in the direction of instruments, calculations, data processing applications, etc., to achieve accurate reliability, accurate quantitative evaluation problems, and solve the effects of quantitative evaluation problems

Pending Publication Date: 2020-03-27
STATE GRID HUBEI ELECTRIC POWER RES INST +2
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be used by inspectors to judge the degree of abnormality of the test results, and can more accurately solve the problem of quantitative evaluation of the reliability of distribution transformer test results

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
  • Quantitative evaluation method for credibility of distribution transformer inspection result based on LOF algorithm
  • Quantitative evaluation method for credibility of distribution transformer inspection result based on LOF algorithm
  • Quantitative evaluation method for credibility of distribution transformer inspection result based on LOF algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] This embodiment takes the qualified transformer sampling detection data (that is, all positive samples) of a certain provincial power grid in 2016, 2017, and 2018 as the specific implementation object, and elaborates in detail the credible quantification of the distribution transformer detection results involved in the present invention judging method.

[0030] 1. Collect and organize sample data

[0031] Classify the obtained transformer test data acc...

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 provides a quantitative evaluation method for credibility of a distribution transformer inspection result based on an LOF algorithm. The quantitative evaluation method comprises the following specific steps: 1, collecting and arranging sample data; 2, standardizing data, and establishing a data set; 3, carrying out LOF model training, and establishing a judgment model; and 4, quantitatively evaluating the credibility of the distribution transformer measurement result, quantitatively evaluating the credibility of the inspection report according to the abnormal score, finding out asuspected abnormal detection report according to the set abnormal score, and completing the quantitative evaluation of the credibility of the distribution transformer inspection result. The quantitative evaluation method establishes a training model by using an LOF algorithm, according to the obtained training model, carries out quantitative scoring on a distribution transformer inspection result, can judge whether the result is abnormal or not, and can calculate and sort the abnormal scores, so that an inspector can judge the abnormal degree of the inspection result, and the quantitative evaluation problem of the credibility of the inspection result of the distribution transformer can be accurately solved.

Description

technical field [0001] The invention belongs to the field of material detection in electric power systems, and proposes a quantitative evaluation method for the reliability of distribution transformer inspection results based on LOF algorithm. Background technique [0002] Power grid material quality inspection refers to the work of testing the power equipment and materials supplied to the State Grid Corporation through on-site witnessing, random testing, and third-party testing. The main purpose of carrying out the quality inspection of power grid materials is to ensure that the quality of equipment and materials entering the power grid meets the standard requirements, and to prevent unqualified materials from flowing into the production and operation links and endangering the safety of the power grid. In recent years, with the development of science and technology and the expansion of the grid scale, the types of power materials have been continuously enriched, and the num...

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): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q10/067G06Q50/06
Inventor 向彬姚尧付剑津张坤义罗维朱昌成吴向东李进杨孔巾娇熊宇刘帆刘志雄陈红坤覃豪
Owner STATE GRID HUBEI ELECTRIC POWER RES INST
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