Fault intelligent identification method for transformer winding

A transformer winding and intelligent identification technology, which is applied in the direction of instruments, measuring electrical variables, and testing of machine/structural components, can solve problems such as power failure economic losses, and achieve the effect of easy identification

Inactive Publication Date: 2015-06-03
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the increasing capacity of my country's power grid, the short-circuit capacity is also increasing, and the reliability of the power transformer, which is the core equipment of the power system, is becoming more and more important. Once an accident occurs, it will lead to large-scale power outages and bring Huge economic losses, the consequences are more serious

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
  • Fault intelligent identification method for transformer winding
  • Fault intelligent identification method for transformer winding
  • Fault intelligent identification method for transformer winding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] A transformer winding fault intelligent identification method, the invention is characterized in that:

[0021] 1) Actively inject pulse signals into transformer equipment to obtain transformer winding network curves;

[0022] 2) Obtain the transformer vibration frequency response curve based on the vibration frequency response method;

[0023] 3) performing feature extraction on the obtained winding network curve;

[0024] 4) performing feature extraction on the obtained vibration frequency response curve;

[0025] 5) Extract the winding network curve characteristics and vibration frequency response curve characteristics of the transformer winding fault library to train the support vector machine SVM;

[0026] 6) Input the newly detected winding network curve characteristics and vibration frequency response curve characteristics into the support vector machine SVM for winding fault identification, and determine whether there is a winding fault inside the transformer ...

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 fault intelligent identification method for a transformer winding. The method comprises the following steps: actively injecting the pulse signal into a transformer device to obtain a network curve of a transformer winding; obtaining a transformer vibration frequency response curve based on a vibration frequency response method; extracting the characteristics of the obtained network curve of the transformer winding; extracting the characteristics of the obtained vibration frequency response curve; extracting the winding network curve characteristics of the transformer winding fault database and the vibration frequency response curve characteristics for training a support vector machine SVM; inputting the winding network curve characteristics and the vibration frequency response curve characteristics newly detected into the SVM for identifying the winding fault, and confirming whether the interior of the transformer device has the winding fault. The scientificity, high efficiency and accuracy of the fault detection and diagnosis of the transformer winding are improved.

Description

technical field [0001] The invention relates to a method for identifying internal faults of power equipment, in particular to an intelligent identification method for transformer winding faults. Background technique [0002] The transformer is one of the important equipment in the power system, and its operation stability and reliability are of great significance to ensure the safety of the power system. With the increasing capacity of my country's power grid, the short-circuit capacity is also increasing, and the reliability of the power transformer, which is the core equipment of the power system, is becoming more and more important. Once an accident occurs, it will lead to large-scale power outages and bring Huge economic losses, the consequences are more serious. With the rapid development of my country's economy, the capacity of the power grid is expanding day by day, and the short-circuit capacity of the system is also increasing. The statistics of transformer damage c...

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): G01R31/00G01M7/02
Inventor 于虹钱国超颜冰程志万马御堂
Owner YUNNAN POWER GRID CO LTD 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