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

Transformer fault diagnosis method and system based on intelligent integration algorithm

A technology of transformer fault and algorithm, applied in the field of transformer fault diagnosis based on intelligent integrated algorithm

Pending Publication Date: 2020-06-26
CHINA ELECTRIC POWER RES INST +1
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a transformer fault diagnosis method and system based on an intelligent integrated algorithm to solve the problem of how to accurately determine a transformer fault

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
  • Transformer fault diagnosis method and system based on intelligent integration algorithm
  • Transformer fault diagnosis method and system based on intelligent integration algorithm
  • Transformer fault diagnosis method and system based on intelligent integration algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0079] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0080] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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 transformer fault diagnosis method and system based on an intelligent integration algorithm, and the method comprises the steps: carrying out the preprocessing of obtained oil chromatography data, and carrying out the feature construction of the preprocessed oil chromatography data, so as to obtain a plurality of features; respectively determining input characteristics corresponding to different types of transformer fault diagnosis algorithms; constructing a transformer fault mode diagnosis model based on an intelligent integration algorithm according to the determined input features corresponding to the different types of transformer fault diagnosis algorithms; determining the fault diagnosis accuracy of each transformer fault mode diagnosis model in each fault mode, and determining an algorithm corresponding to each fault mode and the weight of each algorithm according to the fault diagnosis accuracy; and utilizing the transformer fault mode diagnosis modelbased on the intelligent integration algorithm to diagnose oil chromatography data to be diagnosed, determining a fault mode result, and determining a diagnosis result according to the priority coefficient of each fault mode in the fault mode result.

Description

technical field [0001] The present invention relates to the technical field of electric equipment fault diagnosis, and more specifically, to a transformer fault diagnosis method and system based on an intelligent integrated algorithm. Background technique [0002] In recent years, the proportion of electric energy consumption in the entire energy industry has been increasing year by year. Ensuring the safe and stable operation of the power grid is an important condition for maintaining and promoting economic development. Transformer is an important device in the power grid and an important carrier to realize power conversion and reduce power loss. Timely detection of potential failures and ensuring its safe operation can effectively reduce the probability of power grid failures. With the development of data mining technology and machine learning technology, distribution transformer intelligent fault diagnosis technology has gradually been researched and applied. Intelligent...

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): G06N20/20G06K9/62
CPCG06N20/20G06F18/253
Inventor 王健一程涣超张书琦汤浩刘雪丽汪可王琳赵晓林赵志刚孙建涛遇心如赵晓宇徐征宇邓俊宇吴超杨帆梁宁川吕晓露李熙宁谭瑞娟李刚李戈琦高彬
Owner CHINA ELECTRIC POWER RES INST
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