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Weighted KNN algorithm-based moisture content evaluation method considering transformer aging effect

A technology of KNN algorithm and aging effect, applied in the direction of measuring electrical variables, instruments, calculations, etc., can solve problems affecting FDS data, difficult to popularize test conditions, limit model applicability, etc., to ensure accuracy and reliability, and expand generalization performance, the effect of overcoming evaluation errors

Active Publication Date: 2021-12-14
GUANGXI UNIV
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Problems solved by technology

However, in addition to moisture effects, effects from aging by-products may also affect FDS data
In this case it is difficult to distinguish the contribution of moisture and aging on the measurement
Therefore, once the effect of aging on FDS is ignored, unreliable moisture content assessment results will be obtained
In addition, existing models are usually established with a small number of samples, and then only rely on qualitative / quantitative relationships to complete the state assessment. The above limitations limit the applicability of the model and it is difficult to generalize to different test conditions

Method used

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  • Weighted KNN algorithm-based moisture content evaluation method considering transformer aging effect
  • Weighted KNN algorithm-based moisture content evaluation method considering transformer aging effect
  • Weighted KNN algorithm-based moisture content evaluation method considering transformer aging effect

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Embodiment

[0052] A method for assessing moisture content based on the weighted KNN algorithm considering the aging effect of transformers, comprising the following steps:

[0053] (1) Dry the insulating cardboard and insulating oil in a vacuum drying oven with a temperature of 105°C and a vacuum of 50Pa for 48 hours, and then immerse the insulating cardboard in an environment with a temperature of 60°C and a vacuum of 50Pa for 48 hours to obtain a pretreated insulating cardboard ; The pretreated insulating cardboard was subjected to accelerated thermal aging experiments at 150°C for 0 day, 1 day, 3 days, 7 days, and 15 days to obtain insulating cardboard samples in different aging states; the cardboard samples in different insulating states were prepared Finally, insulating cardboard samples with different moisture contents were prepared by moisture absorption experiments; the moisture content (mc%) of the cardboard samples was tested by Karl Fischer titrator, and the moisture contents o...

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Abstract

The invention belongs to the technical field of electrical equipment fault diagnosis, and discloses a weighted KNN algorithm-based moisture content evaluation method considering a transformer aging effect. The method comprises the steps of: preparing and measuring FDS data of insulating paperboard samples in different aging states and moisture contents; extracting FDS curve characteristic parameters of the samples; fitting and constructing a database for representing water content information of the samples by using the characteristic parameters; constructing a moisture content evaluation model based on a KNN classification algorithm; testing the accuracy of the model by using laboratory samples; and applying the model to on-site transformer testing. According to the method, the FDS and KNN technologies are combined to construct the transformer oil paper insulation moisture content evaluation model considering the aging effect, the problem that the aging effect and the moisture content cannot be distinguished in a traditional FDS testing process is solved, and a basis is provided for deep mining of internal information of an FDS curve and accurate judgment of the moisture content of a field transformer.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of electrical equipment, and in particular relates to a moisture content evaluation method based on a weighted KNN algorithm considering the aging effect of a transformer. Background technique [0002] Oil-immersed power transformers are key equipment for power system transmission. Its internal oil-paper insulation system plays an important role in the service life of the entire transformer. Therefore, an accurate evaluation of the insulation state of the transformer is an important issue related to the safe operation of the transformer and the stability of the entire power grid. [0003] As the operating time of oil-immersed power transformers increases, the performance of its internal insulation system gradually deteriorates, which is often accompanied by the generation of several aging by-products, such as acid, furan, alcohol, moisture, etc. Among them, moisture is not only a by-prod...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G01R31/00G06F113/08G06F119/04G06F119/14
CPCG06F30/27G01R31/003G06F2113/08G06F2119/04G06F2119/14G06F18/24G06F18/214Y04S10/50
Inventor 范贤浩刘捷丰丁哲时张镱议
Owner GUANGXI UNIV
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