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

Transformer fault diagnosis method based on improved hierarchical clustering

A transformer fault diagnosis method technology, which is applied in the testing of instruments, mechanical parts, machine/structural parts, etc., can solve the problems of long running time and large amount of calculation, and achieve the effect of online monitoring and fault diagnosis

Inactive Publication Date: 2017-07-07
GUANGAN POWER SUPPLY COMPANY STATE GRID SICHUANELECTRIC POWER +1
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The invention provides a transformer fault diagnosis method based on improved hierarchical clustering, which solves the technical problems of large amount of calculation and long running time in the existing transformer fault diagnosis method using traditional hierarchical clustering analysis, and realizes the transformer fault diagnosis method. Technical effect of fast and effective diagnosis of fault state

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 based on improved hierarchical clustering
  • Transformer fault diagnosis method based on improved hierarchical clustering
  • Transformer fault diagnosis method based on improved hierarchical clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The invention provides a transformer fault diagnosis method based on improved hierarchical clustering, which solves the technical problems of large amount of calculation and long running time in the existing transformer fault diagnosis method using traditional hierarchical clustering analysis, and realizes the transformer fault diagnosis method. The technical effect of fast and efficient diagnosis of fault conditions.

[0053] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, under the condition of not conflicting with each other, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0054] In the following description, many specific details are set forth in order to fully understand the p...

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 based on improved hierarchical clustering. The method comprises the steps of (1) establishing a transformer vibration signal acquisition system, carrying out data sampling on a transformer based on the established system to obtain a transformer vibration signal, (2) obtaining a transformer vibration signal through the Hilbert-Huang transform method, and (3) carrying out hierarchical classification on the vibration signal characteristic values of a tested transformer through an improved agglomerative hierarchical clustering algorithm, and determining the state of the tested transformer. According to the improved agglomerative hierarchical clustering algorithm, based on a traditional agglomerative hierarchical clustering algorithm, after objects are combined, the data of an initial distance matrix is directly used to carry out data processing, and a technical effect of the rapid and effective diagnosis of a transformer fault state is realized.

Description

technical field [0001] The invention relates to the field of transformer fault diagnosis, in particular to a transformer fault diagnosis method based on improved hierarchical clustering. Background technique [0002] Transformer is one of the most important and valuable electrical equipment in the power grid, and its operating status is directly related to the safety and stability of the entire power system. During the operation of the transformer, it is affected by the impact of various overvoltages and high currents, which will lead to the loosening of the winding iron core and other components. With the aging and deterioration of the insulation, some faults will inevitably occur. From the statistical analysis of transformer faults at home and abroad, it is concluded that mechanical faults caused by winding deformation, winding and iron core compression and loosening are the main components of transformer faults. Therefore, in order to ensure the safe operation of the pow...

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): G01M13/00G06K9/62
CPCG01M13/00G06F18/231G06F18/2413
Inventor 李敏陈果石同春沈大千秦少鹏向天堂邓权伦罗宇昆高翔陈大浩
Owner GUANGAN POWER SUPPLY COMPANY STATE GRID SICHUANELECTRIC POWER
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