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Transformer fault diagnosis method based on information bottleneck

A transformer fault diagnosis method technology, applied in the direction of instruments, special data processing applications, electrical digital data processing, etc., can solve the problem of low accuracy rate of transformer fault diagnosis, and achieve the effect of improving the accuracy rate

Inactive Publication Date: 2015-07-29
XJ ELECTRIC +1
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Problems solved by technology

[0003] The purpose of the present invention is to provide a transformer fault diagnosis method based on information bottleneck to solve the problem that the accuracy rate of existing transformer fault diagnosis is not high

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  • Transformer fault diagnosis method based on information bottleneck
  • Transformer fault diagnosis method based on information bottleneck

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Embodiment Construction

[0023] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0024] Information Bottleneck (IB) is a pattern recognition method based on information theory, which is widely used in document clustering, image analysis, DNA processing and video image retrieval and other fields. In order to improve the correct rate of transformer fault diagnosis, the present invention applies the information bottleneck method to transformer DGA diagnosis, and proposes a transformer fault diagnosis method based on the information bottleneck method, such as figure 1 As shown, the specific process is as follows.

[0025] 1. Use the information bottleneck method to cluster the sample data set (including training samples and samples to be tested) to obtain k result clusters.

[0026] 2. For each sample to be tested, the class label of the sample to be tested is determined through the voting of the training samples in each cl...

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Abstract

The invention relates to a transformer fault diagnosis method based on information bottleneck, and belongs to the technical field of transformer fault diagnosis. The method is that the information bottleneck method is adopted to cluster data to obtain a result cluster with the maximum similarity in the cluster; a cluster label of a sample to be detected is determined by voting training samples in the cluster so as to determine the fault class. With the adoption of the method, the classification result is superior to that of the rule-based Duval triangle method, the mode recognizing based BPNN algorithm and the mode recognizing based Bayes method; the diagnosis accuracy can be effectively increased during diagnosing the transformer fault.

Description

technical field [0001] The invention relates to a transformer fault diagnosis method based on information bottleneck, and belongs to the technical field of transformer fault diagnosis. Background technique [0002] As one of the important components in the power system, the operating state of the transformer directly determines the stability of the entire system. In order to ensure the safe operation of the power grid, early warning of transformer failure is required. Dissolved Gas Analysis (DGA) is one of the main methods for transformer fault diagnosis, which can make effective diagnosis of transformer faults. At present, the DGA diagnostic method mainstream in the industry is based on the regular David's triangle method, which is based on three dissolved gases in oil: methane (CH 4 ), ethylene (C 2 h 4 ) and acetylene (C 2 h 2 ) and judge the fault type according to the position of the result point in David's triangle. This method has the advantages of being simple...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 雍明超路光辉牧继清龚东武王胜辉赵宝郭宏燕周水斌牟涛王龙阁王志成
Owner XJ ELECTRIC
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