Unlock instant, AI-driven research and patent intelligence for your innovation.

A Transformer Fault Diagnosis Method Based on Similarity Analysis Strategy

A technology for transformer faults and diagnosis methods, applied in instruments, complex mathematical operations, calculations, etc., can solve problems such as insufficient dissolved gas concentration data, and achieve the effect of avoiding the difficult problem of parameter selection, simple operation, and easy implementation.

Active Publication Date: 2022-07-29
苏州祥崴电子有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is a significant technical problem in transformer fault diagnosis driven by dissolved gas concentration data: the data of dissolved gas concentration under each fault type is insufficient, which is a typical small sample problem
This technical problem will bring new challenges to traditional neural network-based transformer fault diagnosis

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
  • A Transformer Fault Diagnosis Method Based on Similarity Analysis Strategy
  • A Transformer Fault Diagnosis Method Based on Similarity Analysis Strategy
  • A Transformer Fault Diagnosis Method Based on Similarity Analysis Strategy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0041] like figure 1 As shown, the present invention discloses a transformer fault diagnosis method based on a similarity analysis strategy. The specific implementation of the method of the present invention is described below with reference to a specific application example.

[0042] In this embodiment, the transformer has N under partial discharge fault condition 1 =11 sets of dissolved gas concentration data, with N in spark discharge fault state 2 = 16 sets of data, there are N in arc discharge fault state 3 = 18 sets of data, there are N in the state of medium temperature and overheating fault 4 = 13 sets of data, there are N in the state of low temperature and overheating fault 5 = 23 sets of data, there are N in the high temperature and overheating fault state 6 =14 sets of data. Use these data to establish a fault diagnosis model ...

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 a similarity analysis strategy, which can perform accurate diagnosis of transformer fault types on the premise of limited dissolved gas concentration data as a reference. Specifically, the method of the present invention firstly constructs a multi-faceted ratio feature for the dissolved gas concentration data. Secondly, the method of the present invention uses the discriminative partial least squares algorithm to perform feature transformation on the concentration ratio data, and finally, implements a proximity analysis based on neighbors, thereby diagnosing the fault type of the transformer. The method of the present invention basically does not involve complicated transformation or mathematical calculation, and has simple operation and is very easy to implement. In addition, the method of the present invention does not need to subjectively determine certain model parameters during the implementation process, which greatly avoids the difficult problem of parameter selection.

Description

technical field [0001] The invention relates to a transformer fault diagnosis method, in particular to a transformer fault diagnosis method based on a similarity analysis strategy. Background technique [0002] With the increasing demand for electricity, transformers have become an indispensable power equipment in the power transmission system. As a key link in power supply and distribution, the performance of the transformer will directly affect the operation of the entire power system. Any type of transformer fault will lead to power waste and even more serious economic losses, so the fault diagnosis of transformer equipment is of great research significance to avoid potential power or other economic losses. Since the transformers used in the power supply and distribution system are generally oil-immersed transformers, the common idea of ​​implementing transformer fault diagnosis is to analyze the dissolved gases (hydrogen, methane, ethane, ethylene, and acetylene) in the...

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 Patents(China)
IPC IPC(8): G06K9/62G06F17/16
CPCG06F17/16G06F18/22
Inventor 方浩杰蓝艇其他发明人请求不公开姓名
Owner 苏州祥崴电子有限公司