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Method for diagnosis failure of power transformer using extendible horticulture and inelegance collection theory

A rough set theory and transformer fault technology, applied in the measurement of electrical variables, instruments, measurement of electricity and other directions, can solve problems such as confusing researchers' line of sight, and achieve the effect of reducing the difficulty and improving the speed of diagnosis.

Inactive Publication Date: 2008-08-27
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

However, when processing fault information, a lot of data is repetitive and useless data, which is not only useless for fault diagnosis, but also confuses researchers

Method used

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  • Method for diagnosis failure of power transformer using extendible horticulture and inelegance collection theory
  • Method for diagnosis failure of power transformer using extendible horticulture and inelegance collection theory
  • Method for diagnosis failure of power transformer using extendible horticulture and inelegance collection theory

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Embodiment Construction

[0038] 1. Data Collection

[0039] The present invention uses a 220kV substation #1 main transformer as an example to perform fault diagnosis, and collects transformer regular inspection data from 2004 to 2006 to establish a preliminary fault attribute set and decision set, as shown in Table 1.

[0040] Table 1 Transformer regular inspection data and the formed preliminary fault attribute set and decision set

[0041]

[0042] Second, the specific steps of the fault diagnosis method are as follows

[0043] (1) Use rough set attribute reduction and knowledge reduction methods to reduce transformer fault types and transformer fault information.

[0044] a. Use the difference in the degree of dependence between the two to determine the importance

[0045] For the attribute subset of the classification derived from the attribute D in the rough set The importance of , the method of determining the importance by using the difference of the degree of dependence betwe...

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Abstract

The invention relates to a power transformer fault diagnosis method which combines the extension theory and the rough set theory, belonging to the electric power main equipment fault diagnosis technical field. The invention completes primary reduction classification of the attribute condition needed by various fault types according to a rough set attribute reduction method and then establishes a matter element model of transformer fault diagnosis; DGA testing data is taken as a transformer fault diagnosis attribute set; a transformer standard fault mode is taken as a transformer fault diagnosis decision-making set; various fault degrees are calculated by means of an extension correlation function; moreover, fault inclusion-exclusion rule is defined to determine a transformer fault. The power transformer fault diagnosis method carries out analysis through taking a certain transformer as an example with the diagnosis result according with the practical situation; seventy six pieces of transformer DGA information are collected and fault diagnosis is carried out by means of the method, thereby obtaining higher diagnosis correct rate as compared with IEC three-ratio method.

Description

Technical field: [0001] The invention relates to a method for diagnosing faults of power transformers by using extenics combined with rough set theory. The invention belongs to the technical field of fault diagnosis of power main equipment. Background technique: [0002] The power transformer is an important equipment in the power system. Once a failure occurs, it will bring huge economic losses. Therefore, the safe and stable operation of power transformers has become an important factor affecting system reliability. Diagnosis of power transformer faults and on-line monitoring technology have been regarded as important scientific research projects at home and abroad. Most of the on-line monitoring technologies used now include partial discharge method, dielectric loss test method and oil chromatography analysis method, etc., among which oil chromatography analysis method has been widely used. Because the dissolved gas in the transformer oil does not carry enough fault lo...

Claims

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Application Information

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IPC IPC(8): G01R31/00G06F17/00G01N33/28
Inventor 束洪春胡泽江董俊孙士云刘可真唐岚刘志坚孙向飞杨毅常勇单节杉刘永泰
Owner KUNMING UNIV OF SCI & TECH
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