Transformer fault diagnosis method based on improved principal component analysis

A technology of transformer fault and principal component analysis, applied in the direction of instruments, measuring electrical variables, measuring devices, etc., can solve problems such as failure to find the type of fault, lack of coding, and it is not easy to correctly judge the law of fault development.

Inactive Publication Date: 2017-01-11
NANJING INST OF TECH
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Problems solved by technology

The form of the three-ratio judgment rule is simple, clear, and easy to use. However, it is often found in field applications that there are shortcomings such as missing codes and too absolute coding boundaries. Even some ratios cannot find the corresponding fault type, so the accuracy of fault diagnosis is still low. needs improvement
The more lengthy the information, the harder it is to correctly judge the development law of the fault

Method used

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  • Transformer fault diagnosis method based on improved principal component analysis
  • Transformer fault diagnosis method based on improved principal component analysis
  • Transformer fault diagnosis method based on improved principal component analysis

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0050] A transformer fault diagnosis method based on improved principal component analysis of the present invention, such as figure 1 shown, including the following steps:

[0051] Step 1: Analyze transformer fault status;

[0052] Step 2: Standardize the sample initial matrix;

[0053] Step 3: Establish correlation coefficient matrix, calculate eigenvalue and eigenvector;

[0054] Step 4: Calculate the principal component contribution rate and cumulative contribution rate, and select the sample principal component;

[0055] Step 5: Calculate the distance between the principal components of the sample to be tested and the state feature sample, and determine the state of the sample to be tested.

[0056] The specific implementation process is as follows:

[0057] Principal component analysis is mainly to project high-dimensional data into a new projec...

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Abstract

The invention discloses a transformer fault diagnosis method based on improved principal component analysis, which belongs to the technical field of transformer fault diagnosis. The method adopts the sum of absolute values of sample indexes to carry out standardized treatment on sample index values, and thus, the difference of each sample index value in magnitude can be eliminated, and the information difference features between samples can also be kept; and sample principal components are selected according to cumulative contribution rates of the principal components, Euclidean distances among the sample principal components are clustered, and a transformer fault type is judged. The method of the invention can effectively improve the accuracy for diagnosing inner hidden fault of the transformer.

Description

technical field [0001] The invention relates to a transformer fault diagnosis method based on improved principal component analysis, and belongs to the technical field of transformer fault diagnosis. Background technique [0002] The power transformer is an important equipment in the power system, and its own reliability has become the basis for the stable operation of the power grid. Timely and accurate diagnosis of transformer faults, especially latent faults before dangerous accidents, is not only directly related to the reliability of power transmission and the safety of power system operation, but also to avoid the expansion of accidents, causing downtime and impact on the system , Huge economic losses caused by burning out equipment. Therefore, it is of great research significance to improve the accuracy of transformer latent fault diagnosis. [0003] At present, the dissolved gas analysis (DGA) method in transformer oil has become the main method for judging the nat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G06K9/62
CPCG01R31/00G06F18/2135G06F18/23G06F18/22
Inventor 陆文伟陆文涛马寿虎顾佳易王蒙
Owner NANJING INST OF TECH
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