Transformer fault diagnosis system based on harmonic method

A transformer fault diagnosis system technology, applied in the field of transformers, can solve problems such as intractable diseases, difficult and timely response, and disease-free maintenance

Inactive Publication Date: 2020-10-30
ZHONGKUANG LONGKE ENERGY TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a transformer fault diagnosis system based on the harmonic method, which has the advantages of online monitoring and real-time feedback, and solves the problem that the detection and d

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0016] Embodiment one: the transformer fault diagnosis system based on harmonic method, comprises the following steps:

[0017] 1) Randomly select several cases in the fault case database of the transformer, sort and classify the extracted cases, and establish a fault diagnosis rule base. The transformer will generate different high-order harmonics under different working conditions and different degradation degrees. The working state and deterioration of the transformer have a direct correspondence with the high-order harmonics. The harmonic method is used to detect the health status of electrical equipment, and the relative harmonics formed by measuring the current flowing to the motor and converter of the electrical equipment The magnitude of the wave content is used to judge the deterioration degree of the converter and its cause and location. This method enables the user to detect the running equipment online in a non-contact manner, so as to reflect various operating para...

Embodiment 2

[0022] Embodiment two: a transformer fault diagnosis system based on the harmonic method, comprising the following steps:

[0023] 1) Randomly select several cases in the fault case database of the transformer, sort and classify the extracted cases, and establish a fault diagnosis rule base. The transformer will generate different high-order harmonics under different working conditions and different degradation degrees. The working state and deterioration of the transformer have a direct correspondence with the high-order harmonics. The harmonic method is used to detect the health status of electrical equipment, and the relative harmonics formed by measuring the current flowing to the motor and converter of the electrical equipment The magnitude of the wave content is used to judge the deterioration degree of the converter and its cause and location. This method enables the user to detect the running equipment online in a non-contact manner, so as to reflect various operating p...

Embodiment 3

[0028] Embodiment three: a transformer fault diagnosis system based on the harmonic method, comprising the following steps:

[0029] 1) Randomly select several cases in the fault case database of the transformer, sort and classify the extracted cases, and establish a fault diagnosis rule base. The transformer will generate different high-order harmonics under different working conditions and different degradation degrees. The working state and deterioration of the transformer have a direct correspondence with the high-order harmonics. The harmonic method is used to detect the health status of electrical equipment, and the relative harmonics formed by measuring the current flowing to the motor and converter of the electrical equipment The magnitude of the wave content is used to judge the deterioration degree of the converter and its cause and location. This method enables the user to detect the running equipment online in a non-contact manner, so as to reflect various operating...

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PUM

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Abstract

The invention relates to the technical field of transformers, and discloses a transformer fault diagnosis system based on a harmonic method. The transformer fault diagnosis system comprises the following steps of: randomly extracting a plurality of cases from a fault case library of a transformer, sorting and classifying the extracted cases, and establishing a fault diagnosis rule library, whereinthe transformer can generate different higher harmonics under different working states and different degradation degrees, and the working states and degradation conditions of the transformer have direct corresponding relations with the higher harmonics. According to the transformer fault diagnosis system based on the harmonic method, the diagnosis precision is improved by utilizing harmonic diagnosis; harmonic diagnosis equipment not only can detect the operation state of the equipment online, but further can predict the degradation trend of the same electrical equipment through long-term tracking detection of the same electrical equipment and perform effective tracking management, the detection process does not influence normal electrical equipment, problems are found in advance and early warning is performed, and sudden accidents are avoided.

Description

technical field [0001] The invention relates to the technical field of transformers, in particular to a transformer fault diagnosis system based on a harmonic method. Background technique [0002] The transformer is a device that uses the principle of electromagnetic induction to change the AC voltage. The main components are the primary coil, the secondary coil and the iron core (magnetic core). The coil has two or more windings, and the winding connected to the power supply is called the primary coil. , the remaining windings are called secondary coils, which can transform AC voltage, current and impedance. The simplest core transformer consists of a core made of soft magnetic material and two coils with different turns on the core. Applications can be divided into power transformers and special transformers. [0003] At this stage, the detection and diagnosis of power transformers are generally carried out on a regular basis. It is often easy to perform power outage main...

Claims

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Application Information

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IPC IPC(8): G01R31/00G01R23/16
CPCG01R31/00G01R23/16
Inventor 赵世纯仵宗华侯明顺
Owner ZHONGKUANG LONGKE ENERGY TECH BEIJING
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